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» Generalized Filtering Decomposition
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114
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TNN
2010
148views Management» more  TNN 2010»
14 years 7 months ago
Generalized low-rank approximations of matrices revisited
Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
AMAI
1999
Springer
15 years 3 days ago
STCSP - Structured Temporal Constraint satisfaction Problems
Temporal Constraint Satisfaction Problems (TCSP) is a well known approach for representing and processing temporal knowledge. Important properties of the knowledge can be inferred...
Mira Balaban, Tzachi Rosen
83
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Sparse Decomposition over non-full-rank dictionaries
Sparse Decomposition (SD) of a signal on an overcomplete dictionary has recently attracted a lot of interest in signal processing and statistics, because of its potential applicat...
Massoud Babaie-Zadeh, Vincent Vigneron, Christian ...
FAC
2010
105views more  FAC 2010»
14 years 11 months ago
A formalization of geometric constraint systems and their decomposition
For more than a decade, the trend in geometric constraint systems solving has been to use a geometric decomposition/recombination approach. These methods are generally grounded on...
Pascal Mathis, Simon E. B. Thierry
TIP
2008
175views more  TIP 2008»
15 years 9 days ago
Algorithmic and Architectural Optimizations for Computationally Efficient Particle Filtering
Abstract--In this paper, we analyze the computational challenges in implementing particle filtering, especially to video sequences. Particle filtering is a technique used for filte...
Aswin C. Sankaranarayanan, Ankur Srivastava, Rama ...