Suchergebnisse - sparse binary code

Learning Sparse Binary Code for Maximum Inner Product Search

Autoren: Fangchen Yu Changyi Ma Yueyao Yu et al.

Quelle: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. :3308-3312

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dl.acm.org/doi/pdf/10.1145/3459637.3482132
https://dblp.uni-trier.de/db/conf/cikm/cikm2021.html#MaYY021

Low-density parity-check codes based on sparse binary sequences

Autoren: HE Shan-bao ZHAO Chun-ming SHI Zhi-hua et al.

Quelle: Tongxin xuebao, Pp 81-86 (2005)

Schlagwörter: low-density parity-check codes, sparse binary sequences, quasi-cyclic codes, iterative decoding, sum-product algorithm, Telecommunication, TK5101-6720

Dateibeschreibung: electronic resource

Relation: http://www.joconline.com.cn/zh/article/74667848/; https://doaj.org/toc/1000-436X

Zugangs-URL: https://doaj.org/article/0ccb009962c5420295e8132f648d9389

Learning binary codes for fast image retrieval with sparse discriminant analysis and deep autoencoders.

Autoren: Hong, Son An Huu, Quynh Nguyen Viet, Dung Cu et al.

Quelle: Intelligent Data Analysis. 2023, Vol. 27 Issue 3, p809-831. 23p.

Schlagwörter: *IMAGE retrieval, *DISCRIMINANT analysis, BINARY codes, COMPUTER programming education, IMAGE databases, LEARNING strategies, CONTENT-based image retrieval

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges

Autoren: Kleyko, Denis Rachkovskij, Dmitri Osipov, Evgeny et al.

Quelle: ACM Computing Surveys. 55(9)

Schlagwörter: analogical reasoning, applications, Artificial intelligence, binary spatter codes, cognitive architectures, cognitive computing, distributed representations, geometric analogue of holographic reduced representations, holographic reduced representations, hyperdimensional computing, machine learning, matrix binding of additive terms, modular composite representations, multiply-add-permute, sparse binary distributed representations, sparse block codes, tensor product representations, vector symbolic architectures, Architecture, Codes (symbols), Computer architecture, Holography, Metadata, Binary spatter code, Composite representations, Distributed representation, Geometric analog of holographic reduced representation, Machine-learning, Matrix binding, Matrix binding of additive term, Modular composite representation, Modulars, Multiply-add, Product representation, Sparse binary distributed representation, Sparse block code, Tensor product representation, Tensor products, Vector symbolic architecture, Vectors

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-64721
https://doi.org/10.1145/3558000

Representation and processing of structures with binary sparse distributed codes

Autoren: Rachkovskij, Dmitri A.

Quelle: Rachkovskij, Dmitri A. (1999) Representation and processing of structures with binary sparse distributed codes. [Preprint] (Unpublished)

Schlagwörter: Psychology: Cognitive Psychology, Computer Science: Artificial Intelligence, Computer Science: Neural Nets, Cognitive Psychology, Artificial Intelligence, Neural Nets

Dateibeschreibung: application/postscript

Zugangs-URL: http://cogprints.org/546/

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations.

Autoren: KLEYKO, DENIS RACHKOVSKIJ, DMITRI A. OSIPOV, EVGENY

Quelle: ACM Computing Surveys. Jul2023, Vol. 55 Issue 6, p1-40. 40p.

Schlagwörter: *ARTIFICIAL intelligence, *COMPUTER science, BINARY codes, COGNITIVE science, TENSOR products, COGNITIVE computing

Hybrid compression for sparse binary images

Pilot Design based on Binary Code Multi-pilot Search

Autoren: Hai-yan HUANG Jun-jie ZHU Zhi-an ZHENG et al.

Quelle: Guangtongxin yanjiu, Iss 1, Pp 58-62 (2022)

Schlagwörter: channel estimation, compressed sensing, pilot placement, binary code, Applied optics. Photonics, TA1501-1820

Dateibeschreibung: electronic resource

Relation: http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2022.01.011&lang=zh; https://doaj.org/toc/1005-8788

Zugangs-URL: https://doaj.org/article/ab6f0c1917f24514846efc7cfe72910f

Adaptive Hashing With Sparse Matrix Factorization.

Autoren: Liu, Huawen Li, Xuelong Zhang, Shichao et al.

Quelle: IEEE Transactions on Neural Networks & Learning Systems. Oct2020, Vol. 31 Issue 10, p4318-4329. 12p.

Schlagwörter: MATRIX decomposition, SPARSE matrices, HASHING, BINARY codes, REGULARIZATION parameter

Pilot Design based on Binary Code Multi-pilot Search

Autoren: HUANG Hai-yan ZHU Jun-jie ZHENG Zhi-an et al.

Quelle: Guangtongxin yanjiu, Pp 58-62 (2022)

Schlagwörter: channel estimation, compressed sensing, pilot placement, binary code, Applied optics. Photonics, TA1501-1820

Dateibeschreibung: electronic resource

Relation: http://www.gtxyj.com.cn/thesisDetails#10.13756/j.gtxyj.2022.01.011; https://doaj.org/toc/1005-8788

Zugangs-URL: https://doaj.org/article/9d7a844f8a254711ab0260fef1705b04

Node-Pore Coded Coincidence Correction: Coulter Counters, Code Design, and Sparse Deconvolution

Autoren: Kellman, Michael R Rivest, Francois R Pechacek, Alina et al.

Quelle: IEEE Sensors Journal. 18(8)

Schlagwörter: Coincidence correction, barker codes, node-pore sensing, inverse problems, successive interference cancellation, coulter counter, computational sensing, Barker Codes, Coincidence Correction, Computational Sensing, Coulter Counter, Inverse Problems, Node-Pore Sensing, Successive Interference Cancellation, Optical Physics, Electrical and Electronic Engineering, Mechanical Engineering, Analytical Chemistry

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/37w2b2gb
https://escholarship.org/content/qt37w2b2gb/qt37w2b2gb.pdf

Reconstruction Guarantee Analysis of Basis Pursuit for Binary Measurement Matrices in Compressed Sensing.

Autoren: Liu, Xin-Ji Xia, Shu-Tao Fu, Fang-Wei

Quelle: IEEE Transactions on Information Theory. May2017, Vol. 63 Issue 5, p2922-2932. 11p.

Schlagwörter: SPARSE matrices, WEIGHT measurement, LOW density parity check codes, DECODING algorithms, DETERMINISTIC processes

Sparse Hashing for Fast Multimedia Search.

Autoren: XIAOFENG ZHU ZI HUANG HONG CHENG et al.

Quelle: ACM Transactions on Information Systems. May2013, Vol. 31 Issue 2, p1-23. 23p. 2 Diagrams, 1 Chart, 7 Graphs.

Schlagwörter: *INFORMATION storage & retrieval systems, *ALGORITHMS, BINARY codes, CONTENT analysis, HAMMING codes, ENCODING

On the Undetected Error Probability of Binary Matrix Ensembles.

Autoren: Wadayama, Tadashi^1,2 wadayama@nitech.ac.jp

Quelle: IEEE Transactions on Information Theory. May2010, Vol. 56 Issue 5, p2168-2176. 9p.

Schlagwörter: *AUTOMATIC control systems, *INFORMATION theory, SPARSE matrices, ERROR-correcting codes, CODING theory

Semantic-rebased cross-modal hashing for scalable unsupervised text-visual retrieval.

Autoren: Wang, Weiwei Shen, Yuming Zhang, Haofeng et al.

Quelle: Information Processing & Management. Nov2020, Vol. 57 Issue 6, pN.PAG-N.PAG. 1p.

Schlagwörter: BINARY codes, HASHING, SPARSE graphs, DENSE graphs

Jointly sparse fast hashing with orthogonal learning for large-scale image retrieval.

Autoren: Xu, Honghao Lai, Zhihui Kong, Heng

Quelle: Signal Processing: Image Communication; Nov2023, Vol. 119, pN.PAG-N.PAG, 1p

Schlagwörter: IMAGE retrieval, BINARY codes, FEATURE extraction, REGRESSION analysis

Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning

Autoren: Rachkovskij, Dmitri A. Kussul, Ernst M.

Quelle: Rachkovskij, Dmitri A. and Kussul, Ernst M. (2001) Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning. [Journal (Paginated)]

Schlagwörter: Computer Science: Artificial Intelligence, Computer Science: Neural Nets, Artificial Intelligence, Neural Nets

Dateibeschreibung: application/pdf; application/postscript

Zugangs-URL: http://cogprints.org/1240/

Representation and Processing of Structures with Binary Sparse Distributed Codes.

Autoren: Rachkovskij, Dmitri A.

Quelle: IEEE Transactions on Knowledge & Data Engineering. Mar/Apr2001, Vol. 13 Issue 2, p261. 16p. 1 Black and White Photograph, 7 Diagrams, 6 Charts, 1 Graph.

Schlagwörter: *DATA structures, *ARTIFICIAL neural networks, *COMPUTER architecture, KNOWLEDGE representation (Information theory)

On Compressed Sensing of Binary Signals for the Unsourced Random Access Channel

Autoren: Elad Romanov Or Ordentlich

Quelle: Entropy, Vol 23, Iss 5, p 605 (2021)

Schlagwörter: unsourced random access, compressed sensing, low-density parity-check codes, glauber dynamics, Science, Astrophysics, QB460-466, Physics, QC1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1099-4300/23/5/605; https://doaj.org/toc/1099-4300

Zugangs-URL: https://doaj.org/article/9b81c4f2134a4f5ea2c3f7ad242bdc23

Modeling the impact of coincidence loss on count rate statistics and noise performance in counting detectors for imaging applications

Autoren: P. Zambon

Quelle: Frontiers in Physics, Vol 12 (2024)

Schlagwörter: coincidence loss, counting detector, binary sparse image, cryoEM, recorded counts, recorded electrons, Physics, QC1-999

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphy.2024.1408430/full; https://doaj.org/toc/2296-424X

Zugangs-URL: https://doaj.org/article/b9104774ba0548c5ba5c23129ec74237