Results 31 to 40 of about 528,580 (282)
Image compression-encryption method based on two-dimensional sparse recovery and chaotic system
Scientific Reports, 2021 In this paper, we propose an image compression-encryption method based on two-dimensional (2D) sparse representation and chaotic system. In the first step of this method, the input image is extended in a transform domain to obtain a sparse representation.
Aboozar Ghaffari
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Identification of Matrices Having a Sparse Representation [PDF]
, 2007 We consider the problem of recovering a matrix from its action on a known vector in the setting where the matrix can be represented efficiently in a known matrix dictionary.
Pfander, Goetz E. +2 more
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Sparse time-frequency representations [PDF]
Proceedings of the National Academy of Sciences, 2006 Auditory neurons preserve exquisite temporal information about sound features, but we do not know how the brain uses this information to process the rapidly changing sounds of the natural world. Simple arguments for effective use of temporal information led us to consider the reassignment class of time-frequency representations as ...
Gardner, Timothy J. +1 more
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Robust Sparse Representation for Incomplete and Noisy Data
Information, 2015 Owing to the robustness of large sparse corruptions and the discrimination of class labels, sparse signal representation has been one of the most advanced techniques in the fields of pattern classification, computer vision, machine learning and so on ...
Jiarong Shi, Xiuyun Zheng, Wei Yang
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Shock and Vibration, 2020 The feature extraction of wheelset-bearing fault is important for the safety service of high-speed train. In recent years, sparse representation is gradually applied to the fault diagnosis of wheelset-bearing.
Zhan Xing +3 more
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Compressive Sampling for Remote Control Systems [PDF]
, 2012 In remote control, efficient compression or representation of control signals is essential to send them through rate-limited channels. For this purpose, we propose an approach of sparse control signal representation using the compressive sampling ...
Hayashi, Kazunori +2 more
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Sparse model identification using a forward orthogonal regression algorithm aided by mutual information [PDF]
, 2006 A sparse representation, with satisfactory approximation accuracy, is usually desirable in any nonlinear system identification and signal processing problem.
Billings, S.A., Wei, H.L.
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On sparse evaluation representations
Theoretical Computer Science, 1997 The sparse evaluation graph has emerged over the past several years as an intermediate representation that captures the dataflow information in a program compactly and helps perform dataflow analysis efficiently. The contributions of this paper are three-fold: We present a linear time algorithm for constructing a variant of the sparse evaluation graph ...
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Discriminative collaborative representation for multimodal image classification
International Journal of Advanced Robotic Systems, 2017 Sparse representation has been widely researched for image-based classification. However, sparse representation classification directly treats training samples as a dictionary, so it needs a large training set and is time consuming, especially for a ...
Dawei Sun +3 more
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Bayesian orthogonal component analysis for sparse representation [PDF]
, 2010 This paper addresses the problem of identifying a lower dimensional space where observed data can be sparsely represented. This under-complete dictionary learning task can be formulated as a blind separation problem of sparse sources linearly mixed with ...
Dobigeon, Nicolas, Tourneret, Jean-Yves
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