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IJCV
2006
206views more  IJCV 2006»
13 years 7 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
IJON
2006
146views more  IJON 2006»
13 years 7 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
TCAD
2008
114views more  TCAD 2008»
13 years 7 months ago
Word-Level Predicate-Abstraction and Refinement Techniques for Verifying RTL Verilog
el Predicate Abstraction and Refinement Techniques for Verifying RTL Verilog Himanshu Jain, Daniel Kroening, Natasha Sharygina, and Edmund M. Clarke, Fellow, IEEE As a first step, ...
Himanshu Jain, Daniel Kroening, Natasha Sharygina,...
ICMCS
2009
IEEE
171views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Optimal joint linear acoustic echo cancelation and blind source separation in the presence of loudspeaker nonlinearity
Acoustic echoes represent a major source of discomfort in hands free, full-duplex, communication systems. The problem becomes particularly difficult when the loudspeakers are nonl...
Mehrez Souden, Zicheng Liu
CORR
2011
Springer
177views Education» more  CORR 2011»
13 years 2 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...