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SIGMOD
2002
ACM
112views Database» more  SIGMOD 2002»
16 years 6 months ago
Minimal probing: supporting expensive predicates for top-k queries
This paper addresses the problem of evaluating ranked top-? queries with expensive predicates. As major DBMSs now all support expensive user-defined predicates for Boolean queries...
Kevin Chen-Chuan Chang, Seung-won Hwang
CVPR
2009
IEEE
15 years 10 months ago
Nonnegative Matrix Factorization with Earth Mover's Distance metric
Nonnegative Matrix Factorization (NMF) approximates a given data matrix as a product of two low rank nonnegative matrices, usually by minimizing the L2 or the KL distance between ...
Roman Sandler, Michael Lindenbaum
NIPS
2008
15 years 7 months ago
Tighter Bounds for Structured Estimation
Large-margin structured estimation methods minimize a convex upper bound of loss functions. While they allow for efficient optimization algorithms, these convex formulations are n...
Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexan...
ECCV
2008
Springer
16 years 8 months ago
3D Face Recognition by Local Shape Difference Boosting
Abstract. A new approach, called Collective Shape Difference Classifier (CSDC), is proposed to improve the accuracy and computational efficiency of 3D face recognition. The CSDC le...
Yueming Wang, Xiaoou Tang, Jianzhuang Liu, Gang Pa...
ICPR
2008
IEEE
16 years 18 days ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel