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» Metric and Kernel Learning Using a Linear Transformation
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118
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CVPR
2009
IEEE
16 years 9 months ago
Efficient Kernels for Identifying Unbounded-Order Spatial Features
Higher order spatial features, such as doublets or triplets have been used to incorporate spatial information into the bag-of-local-features model. Due to computational limits, ...
Yimeng Zhang (Carnegie Mellon University), Tsuhan ...
ICML
2003
IEEE
16 years 2 months ago
Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
Wee Sun Lee, Bing Liu
121
Voted
GEOINFO
2004
15 years 3 months ago
Automatic Geometric and Radiometric Registration of Landsat-TM Images Using Mutual Information
: This work is on development of a method for automatic registration of satellite images acquired on different dates, for both geometric and radiometric correction with respect to ...
José P. Queiroz-Neto, Mario Fernando Monten...
108
Voted
PAMI
2008
156views more  PAMI 2008»
15 years 1 months ago
Tied Factor Analysis for Face Recognition across Large Pose Differences
Face recognition algorithms perform very unreliably when the pose of the probe face is different from the gallery face: typical feature vectors vary more with pose than with identi...
Simon J. D. Prince, James H. Elder, Jonathan Warre...
NIPS
2007
15 years 3 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu