Results 31 to 40 of about 1,813,028 (298)
Identification of Matrices Having a Sparse Representation [PDF]
, 2008 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. +6 more
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3-D Sparse Representations [PDF]
, 2014 In this chapter we review a variety of 3D sparse representations developed in recent years and adapted to different kinds of 3D signals. In particular, we describe 3D wavelets, ridgelets, beamlets and curvelets. We also present very recent 3D sparse representations on the 3D ball adapted to 3D signal naturally observed in spherical coordinates ...
Lanusse, François +3 more
openaire +3 more sources
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
doaj +1 more source
Dictionary learning with large step gradient descent for sparse representations [PDF]
, 2012 This is the accepted version of an article published in Lecture Notes in Computer Science Volume 7191, 2012, pp 231-238.
Boris Mailhé +6 more
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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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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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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
doaj +1 more source
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 ...
openaire +1 more source
Sparse representations for text categorization [PDF]
Interspeech 2010, 2010 Sparse representations (SRs) are often used to characterize a test signal using few support training examples, and allow the number of supports to be adapted to the specific signal being categorized. Given the good performance of SRs compared to other classifiers for both image classification and phonetic classification, in this paper, we extended the ...
Tara N. Sainath +5 more
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Sparse Representation Based SAR Vehicle Recognition along with Aspect Angle
The Scientific World Journal, 2014 As a method of representing the test sample with few training samples from an overcomplete dictionary, sparse representation classification (SRC) has attracted much attention in synthetic aperture radar (SAR) automatic target recognition (ATR) recently ...
Xiangwei Xing +3 more
doaj +1 more source