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BMCBI
2008
159views more  BMCBI 2008»
15 years 5 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 4 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
PRL
2007
138views more  PRL 2007»
15 years 4 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
PAMI
2010
265views more  PAMI 2010»
15 years 3 months ago
Motion Segmentation in the Presence of Outlying, Incomplete, or Corrupted Trajectories
—In this paper, we study the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this proble...
Shankar Rao, Roberto Tron, René Vidal, Yi M...
139
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INFOCOM
2002
IEEE
15 years 10 months ago
Distributed Partial Information Management (DPIM) Schemes for Survivable Networks - Part I
—This paper describes a novel framework, called Distributed Partial Information Management (or DPIM). It addresses several major challenges in achieving efficient shared path pr...
Chunming Qiao, Dahai Xu