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» Feature Selection using Multiple Streams
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ICANN
2009
Springer
14 years 1 months ago
Using Kernel Basis with Relevance Vector Machine for Feature Selection
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
Frederic Suard, David Mercier
JVCIR
2007
140views more  JVCIR 2007»
13 years 7 months ago
Robust video streaming over wireless LANs using multiple description transcoding and prioritized retransmission
Video transport over wireless Local Area Networks (LANs) usually suffers from signal fading, noise interference, and network congestion, leading to time-varying packet loss rate ...
Chih-Ming Chen, Chia-Wen Lin, Hsiao-Cheng Wei, Yun...
ICASSP
2011
IEEE
12 years 11 months ago
Multistream speaker diarization through Information Bottleneck system outputs combination
Speaker diarization of meetings recorded with Multiple Distant Microphones makes extensive use of multiple feature streams like MFCC and Time Delay of Arrivals (TDOA). Typically t...
Deepu Vijayasenan, Fabio Valente, Petr Motlí...
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
13 years 5 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
CVPR
2005
IEEE
14 years 9 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...