Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images. [PDF]
PLoS Computational Biology, 2013 The sparse coding hypothesis has enjoyed much success in predicting response properties of simple cells in primary visual cortex (V1) based solely on the statistics of natural scenes. In typical sparse coding models, model neuron activities and receptive
Joel Zylberberg, Michael Robert DeWeese
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Generalized sparse codes for non-Gaussian channels: Code design, algorithms, and applications [PDF]
Fundamental Research, 2022 In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels. Specifically, by expanding the single-parity check (SPC) code constraints with powerful algebraic codes, GS codes ...
Zhao Chen +3 more
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A Protocol Design Paradigm for Batched Sparse Codes [PDF]
Entropy, 2020 Internet of Things (IoT) connects billions of everyday objects to the Internet. The mobility of devices can be facilitated by means of employing multiple wireless links.
Hoover H. F. Yin +2 more
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Semi-Supervised Sparse Coding [PDF]
2014 International Joint Conference on Neural Networks (IJCNN), 2015 Sparse coding approximates the data sample as a sparse linear combination of some basic codewords and uses the sparse codes as new presentations. In this paper, we investigate learning discriminative sparse codes by sparse coding in a semi-supervised ...
Gao, Xin, Wang, Jim Jing-Yan
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Learning dictionaries of sparse codes of 3D movements of body joints for real-time human activity understanding. [PDF]
PLoS ONE, 2014 Real-time human activity recognition is essential for human-robot interactions for assisted healthy independent living. Most previous work in this area is performed on traditional two-dimensional (2D) videos and both global and local methods have been ...
Jin Qi, Zhiyong Yang
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Neuronal allocation and sparse coding of episodic memories in the human hippocampus [PDF]
Scientific ReportsNeurocomputational models hold that individual episodic memories are represented by a sparse, pattern-separated coding scheme in the hippocampus. Animal studies further suggest that the allocation of neurons to such codes is non-random and may be biased ...
Catherine W. Tallman +2 more
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Improving MRAM Performance with Sparse Modulation and Hamming Error Correction [PDF]
SensorsWith the rise of the Internet of Things (IoT), smart sensors are increasingly being deployed as compact edge processing units, necessitating continuously writable memory with low power consumption and fast access times.
Nam Le +3 more
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Sparse codes for speech predict spectrotemporal receptive fields in the inferior colliculus. [PDF]
PLoS Computational Biology, 2012 We have developed a sparse mathematical representation of speech that minimizes the number of active model neurons needed to represent typical speech sounds.
Nicole L Carlson +2 more
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Finite-rate sparse quantum codes aplenty [PDF]
Quantum, 2023 We introduce a methodology for generating random multi-qubit stabilizer codes based on solving a constraint satisfaction problem (CSP) on random bipartite graphs.
Maxime Tremblay +2 more
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Degeneracy and Its Impact on the Decoding of Sparse Quantum Codes
IEEE Access, 2021 The well-documented capacity-approaching performance of sparse codes in the realm of classical communications has inspired the search for their quantum counterparts.
Patricio Fuentes +3 more
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