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» On the Learnability of Vector Spaces
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IJCV
2006
206views more  IJCV 2006»
14 years 10 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
JMLR
2011
148views more  JMLR 2011»
14 years 4 months ago
Bayesian Generalized Kernel Mixed Models
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
Zhihua Zhang, Guang Dai, Michael I. Jordan
TSP
2010
14 years 4 months ago
Low-complexity decoding via reduced dimension maximum-likelihood search
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam...
CEC
2010
IEEE
14 years 1 months ago
Revisiting Evolutionary Information Filtering
— Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user’s interests, called user profile, which ...
Nikolaos Nanas, Stefanos Kodovas, Manolis Vavalis
SAC
2011
ACM
14 years 23 days ago
Biomedical concept extraction based on combining the content-based and word order similarities
It is well known that the main objective of conceptual retrieval models is to go beyond simple term matching by relaxing term independence assumption through concept recognition. ...
Duy Dinh, Lynda Tamine