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» Boosting linear discriminant analysis for face recognition
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PAMI
2006
227views more  PAMI 2006»
14 years 9 months ago
Matching 2.5D Face Scans to 3D Models
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system...
Xiaoguang Lu, Anil K. Jain, Dirk Colbry
145
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Book
640views
16 years 8 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
74
Voted
EMNLP
2006
14 years 11 months ago
Joint Extraction of Entities and Relations for Opinion Recognition
We present an approach for the joint extraction of entities and relations in the context of opinion recognition and analysis. We identify two types of opinion-related entities -- ...
Yejin Choi, Eric Breck, Claire Cardie
78
Voted
ICASSP
2008
IEEE
15 years 4 months ago
A study of using locality preserving projections for feature extraction in speech recognition
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
Yun Tang, Richard Rose
CVPR
2003
IEEE
15 years 11 months ago
Independent Component Analysis in a Facial Local Residue Space
In this paper, we propose an ICA(Indepdendent Component Analysis) based face recognition algorithm, which is robust to illumination and pose variation. Generally, it is well known...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...