Results 21 to 30 of about 38,175 (260)
Measurement-induced phase transitions in sparse nonlocal scramblers
Physical Review Research, 2022 Measurement-induced phase transitions arise due to a competition between the scrambling of quantum information in a many-body system and local measurements.
Tomohiro Hashizume +2 more
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Fast Convolutional Sparse Coding [PDF]
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 Sparse coding has become an increasingly popular method in learning and vision for a variety of classification, reconstruction and coding tasks. The canonical approach intrinsically assumes independence between observations during learning. For many natural signals however, sparse coding is applied to sub-elements ( i.e.
Hilton Bristow +2 more
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Sparse Spectrotemporal Coding of Sounds [PDF]
EURASIP Journal on Advances in Signal Processing, 2003 Summary: Recent studies of biological auditory processing have revealed that sophisticated spectrotemporal analyses are performed by central auditory systems of various animals. The analysis is typically well matched with the statistics of relevant natural sounds, suggesting that it produces an optimal representation of the animal's acoustic biotope ...
David J. Klein +2 more
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Applied Sciences, 2022 We present a new set of near orthogonal codes which we call Hadamard Aperiodic Interval (HAPI) codes and demonstrate their utility for parallel multi-transmitter synthetic aperture imaging. The codes are tri-state and sparse.
Tarek Kaddoura, Roger J. Zemp
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Semi-supervised sparse coding [PDF]
2014 International Joint Conference on Neural Networks (IJCNN), 2014 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 manner, where only a few training samples are labeled.
Jim Jing-Yan Wang, Xin Gao 0001
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IEEE Photonics Journal, 2010 We show that any family of universal quantum gates can be implemented based on a single optical hybrid/Mach-Zehnder interferometer (MZI)/directional coupler (DC) and either a highly nonlinear optical fiber or a tap coupler with an avalanche photodiode ...
Ivan B. Djordjevic
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Sparse codes as Alpha Matte [PDF]
Proceedings of the British Machine Vision Conference 2014, 2014 In this paper, image matting is cast as a sparse coding problem wherein the sparse codes directly give the estimate of the alpha matte. Hence, there is no need to use the matting equation that restricts the estimate of alpha from a single pair of foreground (F) and background (B) samples.
Johnson, Jubin +2 more
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Image Classification Based on Neighborhood Preserving Embedding Sparse Coding [PDF]
Jisuanji gongcheng, 2016 Aiming at the problem of image classification with a complex background,this paper proposes a new image algorithm based on Neighborhood Preserving Embedding regularization Sparse Coding algorithm(NPESC).Comparing with traditional sparse coding,it adds ...
GAO Jiaxue,CHEN Xiuhong
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CoRR, 2012 We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic topic models, STC relaxes the normalization constraint of admixture proportions and the constraint of defining a normalized likelihood function.
Jun Zhu 0001, Eric P. Xing
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Sparse-Coding Variational Autoencoders [PDF]
Neural Computation, 2018 Abstract The sparse coding model posits that the visual system has evolved to efficiently code natural stimuli using a sparse set of features from an overcomplete dictionary. The original sparse coding model suffered from two key limitations; however: (1) computing the neural response to an image patch required minimizing a nonlinear ...
Victor Geadah +4 more
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