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172
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TIFS
2008
157views more  TIFS 2008»
15 years 3 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
152
Voted
CVPR
2007
IEEE
16 years 5 months ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
159
Voted
ICCV
2005
IEEE
15 years 9 months ago
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surfac...
Yalin Wang, Ming-Chang Chiang, Paul M. Thompson
150
Voted
PAMI
2011
14 years 6 months ago
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
153
Voted
CASES
2007
ACM
15 years 7 months ago
Application driven embedded system design: a face recognition case study
The key to increasing performance without a commensurate increase in power consumption in modern processors lies in increasing both parallelism and core specialization. Core speci...
Karthik Ramani, Al Davis