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» A General Method for Statistical Performance Evaluation
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CVPR
2008
IEEE
16 years 8 months ago
Robust 3D face recognition in uncontrolled environments
Most current 3D face recognition algorithms are designed based on the data collected in controlled situations, which leads to the un-guaranteed performance in practical systems. I...
Cheng Zhong, Zhenan Sun, Tieniu Tan, Zhaofeng He
MICCAI
2005
Springer
16 years 7 months ago
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, Ne...
200
Voted
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 10 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
153
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ICC
2007
IEEE
16 years 18 days ago
Optimal Precoder for Rate 1 Space-Time Block Codes
Abstract— Despite primary space-time coding where the channel state information (CSI) is available at the receiver only, the capacity and performance of multiple-input multiple-o...
Alireza Ghaderipoor, Chintha Tellambura
FGR
2006
IEEE
180views Biometrics» more  FGR 2006»
16 years 10 days ago
A New Look at Filtering Techniques for Illumination Invariance in Automatic Face Recognition
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we propose a novel, general recognition framework...
Ognjen Arandjelovic, Roberto Cipolla