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CVPR
2006
IEEE
15 years 12 months ago
Graph Laplacian Kernels for Object Classification from a Single Example
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
Hong Chang, Dit-Yan Yeung
TPDS
2002
126views more  TPDS 2002»
14 years 9 months ago
P-3PC: A Point-to-Point Communication Model for Automatic and Optimal Decomposition of Regular Domain Problems
One of the most fundamental problems automatic parallelization tools are confronted with is to find an optimal domain decomposition for a given application. For regular domain prob...
Frank J. Seinstra, Dennis Koelma
WWW
2009
ACM
15 years 10 months ago
Latent space domain transfer between high dimensional overlapping distributions
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data ar...
Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure...
CVPR
2000
IEEE
15 years 12 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
ICIP
2007
IEEE
15 years 11 months ago
Domain-Partitioning Rankboost for Face Recognition
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
Bangpeng Yao, Haizhou Ai, Yoshihisa Ijiri, Shihong...