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Relevant bibliographies by topics / Address-vector compression

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Journal articles
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Conference papers

Academic literature on the topic 'Address-vector compression'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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Journal articles on the topic "Address-vector compression"

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Nasrabadi, N. M., and Y. Feng. "Image compression using address-vector quantization." IEEE Transactions on Communications 38, no. 12 (1990): 2166–73. http://dx.doi.org/10.1109/26.64659.

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Canta, Gerardo R., and Giovanni Poggi. "Compression of multispectral images by address-predictive vector quantization." Signal Processing: Image Communication 11, no. 2 (1997): 147–59. http://dx.doi.org/10.1016/s0923-5965(96)00043-4.

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Liu, Baichen, Dongwei Wang, Qi Lv, Zhi Han, and Yandong Tang. "Towards Super Compressed Neural Networks for Object Identification: Quantized Low-Rank Tensor Decomposition with Self-Attention." Electronics 13, no. 7 (2024): 1330. http://dx.doi.org/10.3390/electronics13071330.

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Deep convolutional neural networks have a large number of parameters and require a significant number of floating-point operations during computation, which limits their deployment in situations where the storage space is limited and computational resources are insufficient, such as in mobile phones and small robots. Many network compression methods have been proposed to address the aforementioned issues, including pruning, low-rank decomposition, quantization, etc. However, these methods typically fail to achieve a significant compression ratio in terms of the parameter count. Even when high

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Xu, Qian, Juan Yang, Feng Zhang, et al. "Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities." Proceedings of the ACM on Management of Data 3, no. 1 (2025): 1–28. https://doi.org/10.1145/3709743.

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Approximate Nearest Neighbor Search (ANNS) is a critical problem in vector databases. Cluster-based index is utilized to narrow the search scope of ANNS, thereby accelerating the search process. Due to its scalability, it is widely employed in real-world vector search systems. However, existing cluster-based indexes often suffer from coarse granularity, requiring query vectors to compute distances with vectors of varying quality, thus increasing query complexity. Existing work aim to represent vectors with minimal cost, such as using product quantization (PQ) or linear transformations, to spee

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Zhou, Qifei, Lin Yan, Zihao Wang, Na Ren, and Changqing Zhu. "Multi-Instance Zero-Watermarking Algorithm for Vector Geographic Data." ISPRS International Journal of Geo-Information 14, no. 2 (2025): 54. https://doi.org/10.3390/ijgi14020054.

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To address the variability and complexity of attack types, this paper proposes a multi-instance zero-watermarking algorithm that goes beyond the conventional one-to-one watermarking approach. Inspired by the class-instance paradigm in object-oriented programming, this algorithm constructs multiple zero watermarks from a single vector geographic dataset to enhance resilience against diverse attacks. Normalization is applied to eliminate dimensional and deformation inconsistencies, ensuring robustness against non-uniform scaling attacks. Feature triangle construction and angle selection are furt

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SANKARAGOMATHI, B., L. GANESAN, and S. ARUMUGAM. "ENCODING VIDEO SEQUENCES IN FRACTAL-BASED COMPRESSION." Fractals 15, no. 04 (2007): 365–78. http://dx.doi.org/10.1142/s0218348x0700371x.

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With the rapid increase in the use of computers and the Internet, the demand for higher transmission and better storage is increasing as well. This paper describes the different techniques for data (image-video) compression in general and, in particular, the new compression technique called fractal image compression. Fractal image compression is based on self-similarity, where one part of an image is similar to the other part of the same image. Low bit rate color image sequence coding is very important for video transmission and storage applications. The most significant aspect of this work is

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Pang, Zaixiang, Tongyu Wang, Junzhi Yu, Shuai Liu, Xiyu Zhang, and Dawei Jiang. "Design and Analysis of a Flexible, Elastic, and Rope-Driven Parallel Mechanism for Wrist Rehabilitation." Applied Bionics and Biomechanics 2020 (November 12, 2020): 1–13. http://dx.doi.org/10.1155/2020/8841400.

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This paper proposes a bionic flexible wrist parallel mechanism to simulate human wrist joints, which is characterized by a rope-driven, compression spring-supported hybrid mechanism. Specifically, to realize the movement of the wrist mechanism, a parallel structure is adopted to support the mobile platform and is controlled by a cable, which plays the role of wrist muscles. Because the compression spring is elastic, it is difficult to directly solve inverse kinematics. To address this problem, the external force acting on the moving platform is firstly equivalent to the vector force and torque

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Bacon, Ian C., Micah Shepherd, and Scott D. Sommerfeldt. "An overview of symmetry-based techniques used for sound power application with illustrative case studies." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A143. http://dx.doi.org/10.1121/10.0027099.

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This work investigates the growing application of vibration-based sound power (VBSP) measurements in structural acoustics. The VBSP method involves multiplying a measured velocity vector by a geometry-dependent radiation resistance matrix to compute the frequency-dependent sound power. However, computational challenges arise during matrix construction, even for simple geometries. To address this, inherent symmetries in the radiation resistance matrix for both baffled and unbaffled geometries are exploited. Multi-layered Toeplitz symmetries emerge for baffled conditions, while centrosymmetric s

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Bilal, Muhammad, Hafiz Muhammad Azib Khan, Abdul Mueed, Kamran Liaqat Bhatti, Syed Safdar Raza, and Muhammad Siddique. "Interference Analysis of Very Fast Transient Overvoltages in Gas-Insulated Substations Using a Hybrid Algorithm." Sukkur IBA Journal of Emerging Technologies 7, no. 2 (2025): 91–99. https://doi.org/10.30537/sjet.v7i2.1559.

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The reliable and efficient computational approach for the cable interference in gas insulated substations (GIS) is presented. The hybrid domain decomposition method-multilevel fast multi-pole algorithm (DDM-MLFMA) is presented herein. This technique determines the specifications of GIS cables for RG58 and AWG23. Self and mutual interference are identified utilizing the very fast transient overvoltage (VFTO) transient interference signal. The hybrid technique offers a numerical simulation to replicate the impact of the VFTO interference signal. Utilizing the matrix-vector multiplication product

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Qiu, Shiyu, Chunlei Wu, Zhenghao Wan, and Siyuan Tong. "High-Fold 3D Gaussian Splatting Model Pruning Method Assisted by Opacity." Applied Sciences 15, no. 3 (2025): 1535. https://doi.org/10.3390/app15031535.

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Recent advancements in 3D scene representation have underscored the potential of Neural Radiance Fields (NeRFs) for producing high-fidelity renderings of complex scenes. However, NeRFs are hindered by the significant computational burden of volumetric rendering. To address this, 3D Gaussian Splatting (3DGS) has emerged as an efficient alternative, utilizing Gaussian-based representations and rasterization techniques to achieve faster rendering speeds without sacrificing image quality. Despite these advantages, the large number of Gaussian points and associated internal parameters result in hig

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Dissertations / Theses on the topic "Address-vector compression"

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Кулик, Ігор Анатолійович, Игорь Анатольевич Кулик, Ihor Anatoliiovych Kulyk, Сергій Миколайович Харченко, Сергей Николаевич Харченко та Serhii Mykolaiovych Kharchenko. "Динамическое сжатие двоичных последовательностей". Thesis, Издательство СумГУ, 2006. http://essuir.sumdu.edu.ua/handle/123456789/17830.

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Conference papers on the topic "Address-vector compression"

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Tang, Qingtao, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, and Jianfei Cai. "Robust Survey Aggregation with Student-t Distribution and Sparse Representation." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/394.

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Most existing survey aggregation methods assume that the sample data follow Gaussian distribution. However, these methods are sensitive to outliers, due to the thin-tailed property of the Gaussian distribution. To address this issue, we propose a robust survey aggregation method based on Student-t distribution and sparse representation. Specifically, we assume that the samples follow Student-$t$ distribution, instead of the common Gaussian distribution. Due to the Student-t distribution, our method is robust to outliers, which can be explained from both Bayesian point of view and non-Bayesian

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