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» Linear Discriminant Analysis for Signatures
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ICML
2007
IEEE
14 years 11 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
CVPR
2012
IEEE
12 years 1 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
CVPR
2009
IEEE
14 years 2 months ago
Efficiently training a better visual detector with sparse eigenvectors
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhan...
ICML
2005
IEEE
14 years 11 months ago
Linear Asymmetric Classifier for cascade detectors
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
Jianxin Wu, Matthew D. Mullin, James M. Rehg
ICCV
2009
IEEE
15 years 3 months ago
Is Dual Linear Self-Calibration Artificially Ambiguous?
This purely theoretical work investigates the problem of artificial singularities in camera self-calibration. Selfcalibration allows one to upgrade a projective reconstruction t...
Pierre Gurdjos, Adrien Bartoli, Peter Sturm