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TNN
2010
173views Management» more  TNN 2010»
14 years 4 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
VTS
1997
IEEE
96views Hardware» more  VTS 1997»
15 years 1 months ago
Fast Algorithms for Static Compaction of Sequential Circuit Test Vectors
Two fast algorithms for static test sequence compaction are proposed for sequential circuits. The algorithms are based on the observation that test sequences traverse through a sm...
Michael S. Hsiao, Elizabeth M. Rudnick, Janak H. P...
CVPR
2003
IEEE
15 years 11 months ago
Subset Selection for Efficient SVM Tracking
We update the SVM score of an object through a video sequence with a small and variable subset of support vectors. In the first frame we use all the support vectors to compute the...
Shai Avidan
FOCS
2006
IEEE
15 years 3 months ago
Local Graph Partitioning using PageRank Vectors
A local graph partitioning algorithm finds a cut near a specified starting vertex, with a running time that depends largely on the size of the small side of the cut, rather than...
Reid Andersen, Fan R. K. Chung, Kevin J. Lang
BMCBI
2007
215views more  BMCBI 2007»
14 years 9 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer