Relevant bibliographies by topics / Coarse-to-fine search

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Coarse-to-fine search'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Coarse-to-fine search"

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Korah, Reeba, and J. Raja Paul Perinba . "A Novel Coarse-to-fine Search Motion Estimator." Information Technology Journal 5, no. 6 (2006): 1073–77. http://dx.doi.org/10.3923/itj.2006.1073.1077.

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Godwin, Hayward J., Erik D. Reichle, and Tamaryn Menneer. "Coarse-to-fine eye movement behavior during visual search." Psychonomic Bulletin & Review 21, no. 5 (2014): 1244–49. http://dx.doi.org/10.3758/s13423-014-0613-6.

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Over, E. A. B., I. T. C. Hooge, B. N. S. Vlaskamp, and C. J. Erkelens. "Coarse-to-fine eye movement strategy in visual search." Vision Research 47, no. 17 (2007): 2272–80. http://dx.doi.org/10.1016/j.visres.2007.05.002.

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Beck, M. R., and M. C. Lohrenz. "Coarse-to-Fine Search Strategy when Searching in Clutter." Journal of Vision 11, no. 11 (2011): 1324. http://dx.doi.org/10.1167/11.11.1324.

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Atiquzzaman, M. "Coarse-to-Fine Search Technique to Detect Circles in Images." International Journal of Advanced Manufacturing Technology 15, no. 2 (1999): 96–102. http://dx.doi.org/10.1007/s001700050045.

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Ogawa, H., and T. Kumada. "Coarse-to-fine encoding of contextual information in visual search." Journal of Vision 5, no. 8 (2005): 945. http://dx.doi.org/10.1167/5.8.945.

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Kawamata, Koji, and Kenta Oku. "Roadscape-based Route Recommender System Using Coarse-to-fine Route Search." Journal of Information Processing 27 (2019): 392–403. http://dx.doi.org/10.2197/ipsjjip.27.392.

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Raharjo, Jangkung, Adi Soeprijanto, and Hermagasantos Zein. "Multi Dimension of Coarse to Fine Search Method Development for Solving Economic Dispatch." Indonesian Journal of Electrical Engineering and Computer Science 3, no. 1 (2016): 1. http://dx.doi.org/10.11591/ijeecs.v3.i1.pp1-9.

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<p>Economic dispatch problem has grown along with the development of electric power business, for example in a competitive electric power business that offers electrical energy in the form of the step function, non-differentiable function. This is not a continuous function so there is no guarantee that those methods can execute the optimization problem well, especially the Lagrange and Direct methods. There are the non-differentiable functions within the optimization will become a challenge that should be solved. This paper proposes Coarse to Fine Search method development to solve the p
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Fu, Hu Dai, Hua Wang, and Jin Gang Gao. "Circles Detection in Images by Using of Coarse-to-Fine Search Technique." Applied Mechanics and Materials 220-223 (November 2012): 1385–88. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1385.

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In the automatic production, the application of machine vision technology on image pattern recognition is an important task. Realistic image is composed of these basic units such as straight lines, circles and ellipses. But the actual images usually contain noise and other interferences. So the images will have some discontinuous modes. Hough transform is commonly used to detect straight lines, circles or other parametric patterns in noisy images. In practical application, Hough transform requires a large amount of storage space and computation. In the paper, it proposed an efficient coarse-to
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Kim, Chansu, Donghui Song, Chang-Su Kim, and Sung-Kee Park. "Object tracking under large motion: Combining coarse-to-fine search with superpixels." Information Sciences 480 (April 2019): 194–210. http://dx.doi.org/10.1016/j.ins.2018.12.042.

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Dissertations / Theses on the topic "Coarse-to-fine search"

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Aziz, Wilker Ferreira. "Exact sampling and optimisation in statistical machine translation." Thesis, University of Wolverhampton, 2014. http://hdl.handle.net/2436/314591.

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In Statistical Machine Translation (SMT), inference needs to be performed over a high-complexity discrete distribution de ned by the intersection between a translation hypergraph and a target language model. This distribution is too complex to be represented exactly and one typically resorts to approximation techniques either to perform optimisation { the task of searching for the optimum translation { or sampling { the task of nding a subset of translations that is statistically representative of the goal distribution. Beam-search is an example of an approximate optimisation technique, where
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Yao-BinYang and 楊矅賓. "Fast Affine Template Matching using Coarse-to-Fine Optimal Search with Distributed Sampling Points." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/28613149533692220674.

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碩士<br>國立成功大學<br>資訊工程學系<br>103<br>In recent years, algorithms of image analyses have been important since rise of human-computer interaction and industrial automation. Applications in these fields are about interactions with actual objects through image information for a specific purpose. How to accurately and quickly analyze necessary information has become a primary objective. In order to obtain information of a specific pattern in an image, template matching becomes an important technology. This thesis presents a solution to a template matching problem using an optimal search. A proposed met
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Book chapters on the topic "Coarse-to-fine search"

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Zambanini, Sebastian, and Martin Kampel. "Coarse-to-Fine Correspondence Search for Classifying Ancient Coins." In Computer Vision - ACCV 2012 Workshops. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37484-5_3.

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Conference papers on the topic "Coarse-to-fine search"

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Korah, Reeba, and J. Raja Paul Perinbam. "A Novel Coarse-to-Fine Search Algorithm for Motion Estimation." In 2006 IEEE International Conference on Industrial Technology. IEEE, 2006. http://dx.doi.org/10.1109/icit.2006.372325.

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Raharjo, Jangkung, Adi Soeprijanto, and Hermagasantos Zein. "Optimal Power Flow using Multi Dimension of Coarse to Fine Search Method." In 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC). IEEE, 2017. http://dx.doi.org/10.1109/ctceec.2017.8455042.

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Yu, Qihang, Dong Yang, Holger Roth, et al. "C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00418.

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"Dynamic Feature Selection and Coarse-To-Fine Search for Content-Based Image Retrieval." In 5th International Workshop on Pattern Recognition in Information Systems (PRIS-2004). SciTePress - Science and and Technology Publications, 2005. http://dx.doi.org/10.5220/0002566800810093.

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Kim, Byeong Cheon, Youngjoon Yu, and Yong Man Ro. "Robust Decision-Based Black-Box Adversarial Attack via Coarse-To-Fine Random Search." In 2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021. http://dx.doi.org/10.1109/icip42928.2021.9506464.

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Yu, Xiaojing, Tianlong Chen, Yang Yang, Michael Mugo, and Zhangyang Wang. "Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image Matching." In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2019. http://dx.doi.org/10.1109/iccvw.2019.00223.

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Doukim, Chelsia Amy, Jamal Ahmed Dargham, and Ali Chekima. "Finding the number of hidden neurons for an MLP neural network using coarse to fine search technique." In 2010 10th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA). IEEE, 2010. http://dx.doi.org/10.1109/isspa.2010.5605430.

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Lu, Xiaotong, Han Huang, Weisheng Dong, Xin Li, and Guangming Shi. "Beyond Network Pruning: a Joint Search-and-Training Approach." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/358.

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Network pruning has been proposed as a remedy for alleviating the over-parameterization problem of deep neural networks. However, its value has been recently challenged especially from the perspective of neural architecture search (NAS). We challenge the conventional wisdom of pruning-after-training by proposing a joint search-and-training approach that directly learns a compact network from the scratch. By treating pruning as a search strategy, we present two new insights in this paper: 1) it is possible to expand the search space of networking pruning by associating each filter with a learna
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Wang, Chengji, Zhiming Luo, Yaojin Lin, and Shaozi Li. "Text-based Person Search via Multi-Granularity Embedding Learning." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/148.

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Most existing text-based person search methods highly depend on exploring the corresponding relations between the regions of the image and the words in the sentence. However, these methods correlated image regions and words in the same semantic granularity. It 1) results in irrelevant corresponding relations between image and text, 2) causes an ambiguity embedding problem. In this study, we propose a novel multi-granularity embedding learning model for text-based person search. It generates multi-granularity embeddings of partial person bodies in a coarse-to-fine manner by revisiting the perso
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Hu, Yang, Yalin Wang, Feng Xu, Bitao Yao, Wenjun Xu, and Hao Feng. "Two-Dimensional Image Based Product Connector Recognition for Robotic Disassembly in Remanufacturing." In ASME 2021 16th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/msec2021-64512.

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Abstract Remanufacturing has received increasing attention for environmental protection and resource conservation considerations. Disassembly is a crucial step in remanufacturing, is always done manually which is inefficient while robotic disassembly can improve the efficiency of the disassembly. Aiming at the problem of product connector recognition during the robotic disassembly process, we analyze the template matching and feature matching principles based on two-dimensional images. To reduce the computational complexity of traditional template matching, a stepwise search strategy combining
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