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» On vector autoregressive modeling in space and time
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ICPR
2008
IEEE
16 years 15 days ago
Background subtraction technique based on chromaticity and intensity patterns
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...
JCNS
2010
90views more  JCNS 2010»
15 years 26 days ago
Fast Kalman filtering on quasilinear dendritic trees
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
Liam Paninski
JASIS
2006
84views more  JASIS 2006»
15 years 6 months ago
A "stereo" document representation for textual information retrieval
Encouraged by a significant improvement over LSI (latent semantic indexing) approach in textual information retrieval of the DLSI (differential latent semantic indexing) approach ...
Liang Chen, Jia Zeng, Naoyuki Tokuda
NIPS
1997
15 years 7 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
DCC
2009
IEEE
16 years 6 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang