Results 41 to 50 of about 214,409 (272)
Sparse-View Ct Reconstruction Via Convolutional Sparse Coding [PDF]
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019 Traditional dictionary learning based CT reconstruction methods are patch-based and the features learned with these methods often contain shifted versions of the same features. To deal with these problems, the convolutional sparse coding (CSC) has been proposed and introduced into various applications.
Bao, Peng +4 more
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Моделирование и анализ информационных систем, 2023 The development of fast algorithms for key generation, encryption and decryption not only increases the efficiency of related operations. Such fast algorithms, for example, for asymmetric cryptosystems on quasi-cyclic codes, make it possible to ...
Andrey N. Sushko +4 more
doaj +1 more source
Sparse Coding for Alpha Matting [PDF]
IEEE Transactions on Image Processing, 2016 Existing color sampling based alpha matting methods use the compositing equation to estimate alpha at a pixel from pairs of foreground (F) and background (B) samples. The quality of the matte depends on the selected (F,B) pairs. In this paper, the matting problem is reinterpreted as a sparse coding of pixel features, wherein the sum of the codes gives ...
Jubin Johnson +3 more
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sparse-ir: Optimal compression and sparse sampling of many-body propagators
SoftwareX, 2023 We introduce sparse-ir, a collection of libraries to efficiently handle imaginary-time propagators, a central object in finite-temperature quantum many-body calculations. We leverage two concepts: firstly, the intermediate representation (IR), an optimal
Markus Wallerberger +17 more
doaj +1 more source
IEEE Access, 2020 Existing Dictionary Learning and Sparse Coding (DLSC) algorithms for Symmetric Positive Definite (SPD) matrices usually adopt Reproducing Kernel Hilbert Space as workspace to perform necessary linear operations.
Yang Zhang, Yuesheng Zhu
doaj +1 more source
Sympiler: Transforming Sparse Matrix Codes by Decoupling Symbolic Analysis
, 2017 Sympiler is a domain-specific code generator that optimizes sparse matrix computations by decoupling the symbolic analysis phase from the numerical manipulation stage in sparse codes. The computation patterns in sparse numerical methods are guided by the
Cheshmi, Kazem +3 more
core +1 more source
Sparse neural codes and convexity [PDF]
Involve, a Journal of Mathematics, 2019 13 pages, 10 ...
Jeffs, R. Amzi +4 more
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Analysis of reaction and timing attacks against cryptosystems based on sparse parity-check codes
, 2019 In this paper we study reaction and timing attacks against cryptosystems based on sparse parity-check codes, which encompass low-density parity-check (LDPC) codes and moderate-density parity-check (MDPC) codes.
A Becker +16 more
core +1 more source
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 ...
Körding Konrad P +2 more
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Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source