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» Linear Regression for Face Recognition
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ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
15 years 5 months ago
An Optimal Linear Time Algorithm for Quasi-Monotonic Segmentation
Monotonicity is a simple yet significant qualitative characteristic. We consider the problem of segmenting an array in up to K segments. We want segments to be as monotonic as po...
Daniel Lemire, Martin Brooks, Yuhong Yan
107
Voted
CVPR
2007
IEEE
16 years 1 months ago
3D Face Recognition Founded on the Structural Diversity of Human Faces
We present a systematic procedure for selecting facial fiducial points associated with diverse structural characteristics of a human face. We identify such characteristics from th...
Shalini Gupta, J. K. Aggarwal, Mia K. Markey, Alan...
97
Voted
CVPR
2007
IEEE
15 years 1 months ago
Kernel Fukunaga-Koontz Transform Subspaces For Enhanced Face Recognition
Traditional linear Fukunaga-Koontz Transform (FKT) [1] is a powerful discriminative subspaces building approach. Previous work has successfully extended FKT to be able to deal wit...
Yung-hui Li, Marios Savvides
FGR
2004
IEEE
238views Biometrics» more  FGR 2004»
15 years 3 months ago
Nearest Manifold Approach for Face Recognition
Faces under varying illumination, pose and non-rigid deformation are empirically thought of as a highly nonlinear manifold in the observation space. How to discover intrinsic low-...
Junping Zhang, Stan Z. Li, Jue Wang
TASLP
2008
108views more  TASLP 2008»
14 years 11 months ago
A Regression Approach to Music Emotion Recognition
Content-based retrieval has emerged in the face of content explosion as a promising approach to information access. In this paper, we focus on the challenging issue of recognizing ...
Yi-Hsuan Yang, Yu-Ching Lin, Ya-Fan Su, Homer H. C...