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» A Novel Framework for Discovering Robust Cluster Results
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INTERSPEECH
2010
13 years 2 months ago
Combining monaural and binaural evidence for reverberant speech segregation
Most existing binaural approaches to speech segregation rely on spatial filtering. In environments with minimal reverberation and when sources are well separated in space, spatial...
John Woodruff, Rohit Prabhavalkar, Eric Fosler-Lus...
ECCB
2008
IEEE
14 years 2 months ago
Connect the dots: exposing hidden protein family connections from the entire sequence tree
Motivation: Mapping of remote evolutionary links is a classic computational problem of much interest. Relating protein families allows for functional and structural inference on u...
Yaniv Loewenstein, Michal Linial
BMCBI
2010
97views more  BMCBI 2010»
13 years 2 months ago
A semi-parametric Bayesian model for unsupervised differential co-expression analysis
Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
Johannes M. Freudenberg, Siva Sivaganesan, Michael...
22
Voted
CVIU
2007
174views more  CVIU 2007»
13 years 7 months ago
Laser-based detection and tracking of multiple people in crowds
Laser-based people tracking systems have been developed for mobile robotic, and intelligent surveillance areas. Existing systems rely on laser point clustering method to extract o...
Jinshi Cui, Hongbin Zha, Huijing Zhao, Ryosuke Shi...
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang