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Journal articles on the topic 'Histograms intersection'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Sun, Shengnan, Lindu Zhao, and Shicai Yang. "Gabor Weber Local Descriptor for Bovine Iris Recognition." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/920597.

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Iris recognition is a robust biometric technology. This paper proposes a novel local descriptor for bovine iris recognition, named Gabor Weber local descriptor (GWLD). We first compute the Gabor magnitude maps for the input bovine iris image, and then calculate the differential excitation and orientation for each pixel over each Gabor magnitude map. After that, we use these differential excitations and orientations to construct the GWLD histogram representation. Finally, histogram intersection is adopted to measure the similarity between different GWLD histograms. The experimental results on t

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Ragumadhavan, R., K. R. Aravind Britto, and R. Vimala. "Melanoma Skin Cancer Detection Using Wavelet Transform and Local Ternary Pattern." Journal of Medical Imaging and Health Informatics 12, no. 1 (2022): 15–19. http://dx.doi.org/10.1166/jmihi.2022.3856.

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Melanoma is the most serious form of skin cancer that affects millions of people globally. Through image analytics, early identification of skin cancer is enabled, resulting in more effective treatment and a lower mortality rate. The ph2 and human against machine datasets were used to collect images. After preprocessing the image with a weighted median filter, segmentation is investigated using a number of common techniques, with the best result generated by combining watershed transform and maximum similarity region merging. U-net architecture is explored for segmentation. Segmentation effici

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Wei, Guodong, Ying Tian, Shun’ichi Kaneko, and Zhengang Jiang. "Robust Template Matching Using Multiple-Layered Absent Color Indexing." Sensors 22, no. 17 (2022): 6661. http://dx.doi.org/10.3390/s22176661.

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Color is an essential feature in histogram-based matching. This can be extracted as statistical data during the comparison process. Although the applicability of color features in histogram-based techniques has been proven, position information is lacking during the matching process. We present a conceptually simple and effective method called multiple-layered absent color indexing (ABC-ML) for template matching. Apparent and absent color histograms are obtained from the original color histogram, where the absent colors belong to low-frequency or vacant bins. To determine the color range of co

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Okatev, Roman S., and Peter G. Frick. "Recurrence time statistics for chaos analysis in dynamical systems." Вестник Пермского университета. Физика, no. 3 (2024): 19–27. http://dx.doi.org/10.17072/1994-3598-2024-3-19-27.

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We propose a method of delimiting the existence domains of periodic, quasi-periodic and chaotic solutions of dynamical systems in the parameter space. The method is based on an analysis of the sampling of the times of passing a phase point from the previous intersection of the Poincaré plane to the next one (or from one local maximum to the next). An algorithm for generating a sample of recurrence times with subsequent analysis of the histogram of the obtained sample is constructed. A simple measure of histogram filling allows us to separate periodic and chaotic modes, as well as to estimate t

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Sinha, Abhijeet Kumar, and K. K. Shukla. "A Study of Distance Metrics in Histogram Based Image Retrieval." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 3 (2013): 821–30. http://dx.doi.org/10.24297/ijct.v4i3.4205.

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There has been a profound expansion of digital data both in terms of quality and heterogeneity. Trivial searching techniques of images by using metadata, keywords or tags are not sufficient. Efficient Content-based Image Retrieval (CBIR) is certainly the only solution to this problem. Difference between colors of two images can be an important metric to measure their similarity or dissimilarity. Content-based Image Retrieval is all about generating signatures of images in database and comparing the signature of the query image with these stored signatures. Color histogram can be used as signat

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Yu, Peng Fei, Hao Zhou, and Hai Yan Li. "Personal Identification Using Finger-Knuckle-Print Based on Local Binary Pattern." Applied Mechanics and Materials 441 (December 2013): 703–6. http://dx.doi.org/10.4028/www.scientific.net/amm.441.703.

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Over the last ten years, considerable progress has been made on the new hand-based biometric recognition, such as palmprint and hand vein. During this period, it has been proved that Finger-Knuckle-Print (FKP) can be used as a biometric identifier. In this paper, we present an effective FKP identification method based on Local Binary Pattern (LBP), whose idea is to divide the region of interest (ROI) of FKP into a set of sub-image blocks, which can be applied to extract the local features of the FKP. After that, LBP histograms of image blocks in a FKP ROI image are connected together to build

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Kusakunniran, Worapan, Anuwat Wiratsudakul, Udom Chuachan, et al. "Biometric for Cattle Identification using Muzzle Patterns." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 12 (2020): 2056007. http://dx.doi.org/10.1142/s0218001420560078.

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Similar to human biometrics such as faces and fingerprints, animals also have biometrics for individual identifiers. This research paper works on biometrics of cattle using images of muzzle patterns. The proposed approach begins with a training process to construct a cattle face localization model using a Haar feature-based cascade classifier. Then, the watershed technique is applied to segment a region of interest (RoI) of a muzzle area in the detected region of the cattle face. This muzzle ROI is further enhanced to make ridge lines more outstanding. The next step, using two approaches, is t

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Molnár, László, József Domokos, Isabella Ferando та István Módy. "Bimodal RMS distributions for the objective detection of theta (θ) and gamma (γ) brain oscillations during long-term continuous LFP recordings in mice". MACRo 2015 2, № 1 (2017): 31–37. http://dx.doi.org/10.1515/macro-2017-0004.

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AbstractIn the rodent’s brain the theta (5-12 Hz) and gamma (30-120 Hz) oscillations can be readily detected in local field potential (LFP) recordings, but there is no universal consensus about an objective threshold for their detection.We FIR-filtered the long-term local field potential (LFP) recordings for theta and gamma oscillations. The RMS (root mean square) values of 8 s epochs in 0.5-4 s steps (using corresponding overlaps) were obtained from the filtered recordings. For both theta and gamma oscillations, the histograms showed a bimodal distribution well fitted by two Gaussians. The po

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Morsy, S., A. Shaker, and A. El-Rabbany. "CLUSTERING OF MULTISPECTRAL AIRBORNE LASER SCANNING DATA USING GAUSSIAN DECOMPOSITION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 269–76. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-269-2017.

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With the evolution of the LiDAR technology, multispectral airborne laser scanning systems are currently available. The first operational multispectral airborne LiDAR sensor, the Optech Titan, acquires LiDAR point clouds at three different wavelengths (1.550, 1.064, 0.532&amp;thinsp;μm), allowing the acquisition of different spectral information of land surface. Consequently, the recent studies are devoted to use the radiometric information (i.e., intensity) of the LiDAR data along with the geometric information (e.g., height) for classification purposes. In this study, a data clustering me

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Lemenkova, Polina. "Distance-based vegetation indices computed by SAGA GIS: A comparison of the perpendicular and transformed soil adjusted approaches for the LANDSAT TM image." Poljoprivredna tehnika 46, no. 3 (2021): 49–60. http://dx.doi.org/10.5937/poljteh2103049l.

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Landsat-TM of 2001 covering Iceland (15.5°W-21°W, 64.5°N-67°N) was processed using SAGA GIS for testing distance-based Vegetation Indices (VIs): four approaches of Perpendicular Vegetation Index (PVI) and two approaches of Transformed Soil Adjusted Vegetation Index TSAVI. The PVI of vegetation from the soil background line indicated healthiness as a leaf area index (LAI). The results showed that the reflectance for vegetation has a linear relation with soil background line. Four PVI models and two TSAVI shown coefficients of determination with LAI. The dataset demonstrate variations in the cal

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Lemenkova, Polina. "Distance-Based Vegetation Indices Computed by Saga GIS: A Comparison of the Perpendicular and Transformed Soil Adjusted Approaches for the Landsat TM Image." Poljoprivredna Tehnika 46, no. 3 (2021): 49–60. https://doi.org/10.5281/zenodo.5508756.

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Landsat-TM of 2001 covering Iceland (15.5°W-21°W, 64.5°N-67°N) was processed using SAGA GIS for testing distance-based Vegetation Indices (VIs): four approaches of Perpendicular Vegetation Index (PVI) and two approaches of Transformed Soil Adjusted Vegetation Index TSAVI. The PVI of vegetation from the soil background line indicated healthiness as a leaf area index (LAI). The results showed that the reflectance for vegetation has a linear relation with soil background line. Four PVI models and two TSAVI shown coefficients of determination with LAI. The dataset demonstrate varia

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Protosenya, Anatoly, Alexander Alekseev, and Pavel Verbilo. "Prediction of the stress-strain state and stability of the front of tunnel face at the intersection of disturbed zones of the soil mass." Записки Горного института 254 (July 20, 2022): 252–60. http://dx.doi.org/10.31897/pmi.2022.26.

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The article presents a numerical solution of the spatial elastic-plastic problem of determining the stability of the tunnel face soils at the intersection of disturbed zones of the soil mass. The relevance of the study is related to the need to take into account the zones of disturbed soils when assessing the face stability to calculate the parameters of the support. Based on the finite element method implemented in the PLAXIS 3D software package, the construction of a finite element system "soil mass-disturbance-face support" and modeling of the intersection of the disturbed zones of the soil

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Jay, V. A., and M. Neumann. "Site productivity indices for native forests in southeast Queensland." IOP Conference Series: Earth and Environmental Science 932, no. 1 (2021): 012006. http://dx.doi.org/10.1088/1755-1315/932/1/012006.

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Abstract Site productivity, or site quality, describes the potential biomass growth and yield of vegetation at a given location. Land managers have devised indices for site productivity using attributes related to plant yields or growth rates, and these have great utility when available spatially in maps. The main factors determining site productivity include climate, soil and terrain characteristics. Here we analysed four productivity indices (two based on remote sensing only, two based on modelling and algorithms using spatial datasets). The tested indices were available over a 150,000 km2 a

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Ruddle, Roy A., Muhammad Adnan, and Marlous Hall. "Using set visualisation to find and explain patterns of missing values: a case study with NHS hospital episode statistics data." BMJ Open 12, no. 11 (2022): e064887. http://dx.doi.org/10.1136/bmjopen-2022-064887.

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ObjectivesMissing data is the most common data quality issue in electronic health records (EHRs). Missing data checks implemented in common analytical software are typically limited to counting the number of missing values in individual fields, but researchers and organisations also need to understand multifield missing data patterns to better inform advanced missing data strategies for which counts or numerical summaries are poorly suited. This study shows how set-based visualisation enables multifield missing data patterns to be discovered and investigated.DesignDevelopment and evaluation of

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Wahyono, Agus Harjoko, Andi Dharmawan, Faisal Dharma Adhinata, Gamma Kosala, and Kang-Hyun Jo. "Real-Time Forest Fire Detection Framework Based on Artificial Intelligence Using Color Probability Model and Motion Feature Analysis." Fire 5, no. 1 (2022): 23. http://dx.doi.org/10.3390/fire5010023.

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As part of the early warning system, forest fire detection has a critical role in detecting fire in a forest area to prevent damage to forest ecosystems. In this case, the speed of the detection process is the most critical factor to support a fast response by the authorities. Thus, this article proposes a new framework for fire detection based on combining color-motion-shape features with machine learning technology. The characteristics of the fire are not only red but also from their irregular shape and movement that tends to be constant at specific locations. These characteristics are repre

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Hattori, Shun, Takafumi Miki, Akisada Sanjo, Daiki Kobayashi, and Madoka Takahara. "SimMolCC: A Similarity of Automatically Detected Bio-Molecule Clusters between Fluorescent Cells." Applied Sciences 14, no. 17 (2024): 7958. http://dx.doi.org/10.3390/app14177958.

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In the field of studies on the “Neural Synapses” in the nervous system, its experts manually (or pseudo-automatically) detect the bio-molecule clusters (e.g., of proteins) in many TIRF (Total Internal Reflection Fluorescence) images of a fluorescent cell and analyze their static/dynamic behaviors. This paper proposes a novel method for the automatic detection of the bio-molecule clusters in a TIRF image of a fluorescent cell and conducts several experiments on its performance, e.g., mAP @ IoU (mean Average Precision @ Intersection over Union) and F1-score @ IoU, as an objective/quantitative me

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Riabushenko, Oleksandr. "Methodology for determining bottlenecks on the city's street-road network by analyzing GPS track data." Automobile transport, no. 52 (July 26, 2023): 71–79. http://dx.doi.org/10.30977/at.2219-8342.2023.52.0.08.

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Problem. The article considers the issue of determining the location of "bottlenecks" on the highways of large cities based on the study of the vehicle's driving mode, obtained as a result of GPS data processing and analysis. Purpose. The purpose of this study is to develop and test the methodology for identifying potential "bottlenecks" on the city's freeway by analyzing the GPS track data of the car. The subject of the study is the interrelationship of the characteristics of the sections of the city’s street-road network (SRN) with the parameters characterizing the vehicle movement mode in t

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Sharmila, R., Nikhil S Patankar, Manjula Prabakaran, Chandra M. V. S. Akana, Arvind K. Shukla, and T. Raja. "Recent developments in flexible printed electronics and their use in food quality monitoring and intelligent food packaging." Scientific Temper 14, no. 03 (2023): 877–84. http://dx.doi.org/10.58414/scientifictemper.2023.14.3.49.

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The field of flexible printed electronics has undergone significant advancements, promising transformative applications across various industries. This comprehensive review explores the integration of flexible printed electronics into the domain of food quality monitoring and intelligent food packaging. The importance of maintaining food product quality throughout the supply chain is paramount, and flexible electronics offer innovative solutions to address this challenge. Regulatory compliance and standardized testing protocols are emphasized to facilitate adoption. Real-world implementation s

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Tseng, Hsin-Hung, Ming-Der Yang, R. Saminathan, Yu-Chun Hsu, Chin-Ying Yang, and Dong-Hong Wu. "Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning." Remote Sensing 14, no. 12 (2022): 2837. http://dx.doi.org/10.3390/rs14122837.

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To meet demand for agriculture products, researchers have recently focused on precision agriculture to increase crop production with less input. Crop detection based on computer vision with unmanned aerial vehicle (UAV)-acquired images plays a vital role in precision agriculture. In recent years, machine learning has been successfully applied in image processing for classification, detection and segmentation. Accordingly, the aim of this study is to detect rice seedlings in paddy fields using transfer learning from two machine learning models, EfficientDet-D0 and Faster R-CNN, and to compare t

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HU, GONGZHU, and ZE-NIAN LI. "AN X-CROSSING PRESERVING SKELETONIZATION ALGORITHM." International Journal of Pattern Recognition and Artificial Intelligence 07, no. 05 (1993): 1031–53. http://dx.doi.org/10.1142/s0218001493000522.

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For an image consisting of wire-like patterns, skeletonization (thinning) is often necessary as the first step towards feature extraction. But a serious problem which exists is that the intersections of the lines (X-crossings) will be elongated when applying a thinning algorithm to the image. That is, X-crossings are usually difficult to be preserved as the result of thinning. In this paper, we present a non-iterative line thinning method that preserves X-crossings of the lines in the image. The skeleton is formed by the mid-points of run-length encoding of the patterns. Line intersection area

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Xi, Hanbin, and Tiantian Chang. "Image Classification Based on Histogram Intersection Kernel." Journal of Computer and Communications 03, no. 11 (2015): 158–63. http://dx.doi.org/10.4236/jcc.2015.311025.

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Lee, S. M., J. H. Xin, and S. Westland. "Evaluation of image similarity by histogram intersection." Color Research & Application 30, no. 4 (2005): 265–74. http://dx.doi.org/10.1002/col.20122.

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Hao, Peng-Yi, Yang Xia, Xiao-Xin Li, Sei-ichiro Kamata, and Sheng-Yong Chen. "Discriminative Histogram Intersection Metric Learning and Its Applications." Journal of Computer Science and Technology 32, no. 3 (2017): 507–19. http://dx.doi.org/10.1007/s11390-017-1740-0.

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Lee, Bong-Seok, and Young-Shik Moon. "Robust object tracking using projected motion and histogram intersection." KIPS Transactions:PartB 9B, no. 1 (2002): 99–104. http://dx.doi.org/10.3745/kipstb.2002.9b.1.099.

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Inoue, Kohei, Kenji Hara, and Kiichi Urahama. "Image and Video Clipping by Minimizing Weighted Histogram Intersection." Journal of The Institute of Image Information and Television Engineers 64, no. 11 (2010): 1639–46. http://dx.doi.org/10.3169/itej.64.1639.

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Jia, Shi Jie, Jian Ying Zhao, Yan Ping Yang, and Nan Xiao. "Product-Image Classification with Support Vector Machine." Advanced Materials Research 433-440 (January 2012): 6019–22. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6019.

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SVMs with kernel have been established with good generalization capabilities. This paper proposed a supervised product-image classification method based on SVM and Pyramid Histogram of words(PHOW). We tested several kernel functions on PI100 (Microsoft product-image dataset), such as linear, Radial Basis, Chi-square, histogram intersection and spatial pyramid kernel. Experimental results showed the effectiveness of our algorithm.

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Dhanushree, M., R. Priya, P. Aruna, and R. Bhavani. "A Framework for Video Summarization using Visual Attention Technique." Indian Journal Of Science And Technology 17, no. 15 (2024): 1586–95. http://dx.doi.org/10.17485/ijst/v17i15.456.

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Objectives: To develop an efficient Video Summarization technique that aims to utilize the saliency map for mimicking the human way of selecting the important events in the given video. Methods: This paper proposes Histogram based Weighted Fusion (HWF) algorithm that uses spatial and temporal saliency maps to act as guidance in creating the summary of the video. The spatial saliency score and temporal saliency score obtained from the corresponding saliency maps are fused using the proposed HWF algorithm to obtain the frame level importance score. It tries to depict the visual attention of the

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Becker, Dennis. "Analysis of the Histogram Intersection Kernel for Use in Bayesian Optimization." International Journal of Modeling and Optimization 7, no. 6 (2017): 337–45. http://dx.doi.org/10.7763/ijmo.2017.v7.609.

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M, Dhanushree, Priya R, Aruna P, and Bhavani R. "A Framework for Video Summarization using Visual Attention Technique." Indian Journal of Science and Technology 17, no. 15 (2024): 1586–95. https://doi.org/10.17485/IJST/v17i15.456.

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Abstract <strong>Objectives:</strong> To develop an efficient Video Summarization technique that aims to utilize the saliency map for mimicking the human way of selecting the important events in the given video. <strong>Methods:</strong> This paper proposes Histogram based Weighted Fusion (HWF) algorithm that uses spatial and temporal saliency maps to act as guidance in creating the summary of the video. The spatial saliency score and temporal saliency score obtained from the corresponding saliency maps are fused using the proposed HWF algorithm to obtain the frame level importa

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Groce, Adam, Peter Rindal, and Mike Rosulek. "Cheaper Private Set Intersection via Differentially Private Leakage." Proceedings on Privacy Enhancing Technologies 2019, no. 3 (2019): 6–25. http://dx.doi.org/10.2478/popets-2019-0034.

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Abstract In this work we demonstrate that allowing differentially private leakage can significantly improve the concrete performance of secure 2-party computation (2PC) protocols. Specifically, we focus on the private set intersection (PSI) protocol of Rindal and Rosulek (CCS 2017), which is the fastest PSI protocol with security against malicious participants. We show that if differentially private leakage is allowed, the cost of the protocol can be reduced by up to 63%, depending on the desired level of differential privacy. On the technical side, we introduce a security model for differenti

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Chen, Haiyan, Ke Xie, Huan Wang, and Chunxia Zhao. "Scene image classification using locality-constrained linear coding based on histogram intersection." Multimedia Tools and Applications 77, no. 3 (2017): 4081–92. http://dx.doi.org/10.1007/s11042-017-4830-7.

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Yang, Wenji, Lingfu Kong, and Mingyan Wang. "Hand gesture recognition using saliency and histogram intersection kernel based sparse representation." Multimedia Tools and Applications 75, no. 10 (2015): 6021–34. http://dx.doi.org/10.1007/s11042-015-2947-0.

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Baharom, Nur Amalina, Fatma Susilawati Mohamad, and Azizah Abdul Manaf. "Histogram-Based Detection of Tomato Maturity: A Preliminary Study." Malaysian Journal of Computing and Applied Mathematics 1, no. 2 (2018): 21–28. http://dx.doi.org/10.37231/myjcam.2018.1.2.21.

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Color is one of the most important features of images. Estimating the ripeness of fruits via color can be performed as it is the dominant feature in describing the information of image. However, each of color model has given different performance when used in experiment. This paper reports a preliminary study to identify the ripeness of tomato by extracting the color features and compute into Histogram based method. Histogram proposes the number of color intensities in ROI (Region of Interest) or a whole image to give more possibilities result. Histogram based techniques merely count the numbe

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HIRAOKA, Toru, Singo MOMOSAKI, Tatsuro OCHI, and Kohei INOUE. "Land Cover Classification with Multispectral Image by Clustering Method Based on Histogram Intersection." Journal of the Japan society of photogrammetry and remote sensing 49, no. 5 (2010): 320–25. http://dx.doi.org/10.4287/jsprs.49.320.

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Devi, D., N. Kalaivani, and J. Anandhi. "A Novel Adaptive Pixel Retaining Approach for Robust Watermarking Using Histogram Intersection Technique." Journal of Computational and Theoretical Nanoscience 16, no. 2 (2019): 702–8. http://dx.doi.org/10.1166/jctn.2019.7794.

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Imperceptibility criterion as, the host image is intellectual property that the owners want to protect. It should be visually the increased usage of digitized data for communication leads to the high demand in the copyright protection of the data. This proposed watermarking technique helps to highly improve the capacity of embedding watermark without affecting the imperceptibility and robustness. The approach couples the idea of building analysis rule in generating the watermark, thereby increasing the capacity of embedding watermark. The approach is additionally guided with Histogram Intersec

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Li, Pan, Yang Liu, Guojun Liu, Maozu Guo, and Zhiyong Pan. "A robust local sparse coding method for image classification with Histogram Intersection Kernel." Neurocomputing 184 (April 2016): 36–42. http://dx.doi.org/10.1016/j.neucom.2015.07.136.

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Bicciato, Alessandro, Luca Cosmo, Giorgia Minello, Luca Rossi, and Andrea Torsello. "GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection." Pattern Recognition 148 (April 2024): 110210. http://dx.doi.org/10.1016/j.patcog.2023.110210.

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OKAMOTO, Kazushi, Fangyan DONG, Shinichi YOSHIDA, and Kaoru HIROTA. "Families of t-norm based Histogram Intersections for Content-Based Image Retrieval." Transactions of Japan Society of Kansei Engineering 10, no. 1 (2010): 11–21. http://dx.doi.org/10.5057/jjske.10.11.

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Tian, Ying, Shun’ichi Kaneko, So Sasatani, Masaya Itoh, and Ming Fang. "Robust and Precise Matching Algorithm Combining Absent Color Indexing and Correlation Filter." Information 12, no. 10 (2021): 428. http://dx.doi.org/10.3390/info12100428.

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This paper presents a novel method that absorbs the strong discriminative ability from absent color indexing (ABC) to enhance sensitivity and combines it with a correlation filter (CF) for obtaining a higher precision; this method is named ABC-CF. First, by separating the original color histogram, apparent and absent colors are introduced. Subsequently, an automatic threshold acquisition is proposed using a mean color histogram. Next, a histogram intersection is selected to calculate the similarity. Finally, CF follows them to solve the drift caused by ABC during the matching process. The nove

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NISHIMURA, Koki, Shunji MAEDA, Tomoyuki ARAKI, et al. "Proposal of Extraction Method of Inherent Striated Toolmarks for Bullet Discrimination using Histogram Intersection." Journal of the Japan Society for Precision Engineering 83, no. 8 (2017): 781–88. http://dx.doi.org/10.2493/jjspe.83.781.

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El-Sayed, Hesham, Gokulnath Thandavarayan, and Yasser Hawas. "A Cost Effective Route Guidance Method for Urban Areas Using Histograms." Wireless Communications and Mobile Computing 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/4507352.

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Analysing shortest path for real time traffic environment is crucial with dynamic updating. VANET technology can be used for analysing traffic but generates a huge amount of data to be exchanged, which demands more processing power and resources. In this paper, a new histogram-based route guidance algorithm (HBA) has been proposed based on light weight processing. The proposed algorithm enables selecting the shortest path between any source and destination using the histogram models, which capture the higher order distribution function of the number vehicles in every lane. Furthermore, the his

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Kimpton, Anthony. "Upset diagrams for examining whether parking maximums influence modal choice and car holdings." Environment and Planning A: Economy and Space 52, no. 6 (2019): 1023–26. http://dx.doi.org/10.1177/0308518x19890871.

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Venn and Euler diagrams can provide researchers and practitioners with a quick visual summary of information that is relevant for evaluating policy, but given that the potential number of intersections grows exponentially relative to sets of information (2 n – 1), diagrams featuring more than three sets of information are typically difficult to interpret from a two-dimensional medium (i.e. reports or articles). In contrast, upset diagrams arrange sets and intersections on a matrix. Thus, the potential number of intersections grows linearly, and further information (e.g. histograms and boxplots

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Rodner, Erik, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, and Joachim Denzler. "Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks." International Journal of Computer Vision 121, no. 2 (2016): 253–80. http://dx.doi.org/10.1007/s11263-016-0929-y.

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Razmkhah, Mostafa, Fathimah Al-Ma'shumah, and Sohrab Effati. "The k-nearest Neighbor Classification of Histogram- and Trapezoid-Valued Data." Statistics, Optimization & Information Computing 10, no. 4 (2022): 1187–203. http://dx.doi.org/10.19139/soic-2310-5070-1451.

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‎A histogram-valued observation is a specific type of symbolic objects that represents its value by a list of bins (intervals) along with their corresponding relative frequencies or probabilities‎. ‎In the literature‎, ‎the raw data in bins of all histogram-valued data have been assumed to be uniformly distributed‎. ‎A new representation of such observations is proposed in this paper by assuming that the raw data in each bin are linearly distributed‎, ‎which are called trapezoid-valued data‎. ‎Moreover‎, ‎new definitions of union and intersection between trapezoid-valued observatio

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Qu, Zhong, and Teng Fei Gao. "An Improved Algorithm of Keyframe Extraction for Video Summarization." Advanced Materials Research 225-226 (April 2011): 807–11. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.807.

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Video segmentation and keyframe extraction are the basis of Content-based Video Retrieval (CBVR), in which keyframe selection plays the central role in CBVR. In this paper, as the initialization of keyframe extraction, we proposed an improved approach of key-frame extraction for video summarization. In our approach, videos were firstly segmented into shots according to video content, by our improved histogram-based method, with the use of histogram intersection and nonuniform partitioning and weighting. Then, within each shot, keyframes were determined with the calculation of image entropy as

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FUJII, Shu, Shunji MAEDA, Tomoyuki ARAKI, et al. "Proposal of Histogram Intersection with Weighting and Location-Preservation of Striated Toolmarks for Bullet Discrimination." Journal of the Japan Society for Precision Engineering 82, no. 7 (2016): 672–78. http://dx.doi.org/10.2493/jjspe.82.672.

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Maharani, Devira Anggi, Carmadi Machbub, and Lenni Yulianti. "Real-time Human Tracking System using Histogram Intersection Distance in Firefly Optimization Based Particle Filter." International Journal on Electrical Engineering and Informatics 13, no. 4 (2021): 853–72. http://dx.doi.org/10.15676/ijeei.2021.13.4.7.

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Kim, Chang-Ryong, and Chin-Wan Chung. "A multi-step approach for partial similarity search in large image data using histogram intersection." Information and Software Technology 45, no. 4 (2003): 203–15. http://dx.doi.org/10.1016/s0950-5849(02)00206-9.

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Li, Yong, Xiang Shi, Hongbin Jin, and Zhigang Wen. "Detecting lines and building intersection correspondences by computing edge oriented histogram on multi-sensor images." Infrared Physics & Technology 73 (November 2015): 1–7. http://dx.doi.org/10.1016/j.infrared.2015.08.013.

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Park, Sohee, Hansung Lee, Jang-Hee Yoo, Geonwoo Kim, and Soonja Kim. "Partially Occluded Facial Image Retrieval Based on a Similarity Measurement." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/217568.

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We present a partially occluded facial image retrieval method based on a similarity measurement for forensic applications. The main novelty of this method compared with other occluded face recognition algorithms is measuring the similarity based on Scale Invariant Feature Transform (SIFT) matching between normal gallery images and occluded probe images. The proposed method consists of four steps: (i) a Self-Quotient Image (SQI) is applied to input images, (ii) Gabor-Local Binary Pattern (Gabor-LBP) histogram features are extracted from the SQI images, (iii) the similarity between two compared

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