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» Algorithms for Challenging Motif Problems
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ECCV
2004
Springer
16 years 6 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
ICIP
2008
IEEE
16 years 6 months ago
Learning structurally discriminant features in 3D faces
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
262
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ICDE
2003
IEEE
143views Database» more  ICDE 2003»
16 years 5 months ago
Index-Based Approximate XML Joins
XML data integration tools are facing a variety of challenges for their efficient and effective operation. Among these is the requirement to handle a variety of inconsistencies or...
Sudipto Guha, Nick Koudas, Divesh Srivastava, Ting...
ICPR
2006
IEEE
16 years 5 months ago
Face Set Classification using Maximally Probable Mutual Modes
In this paper we consider face recognition from sets of face images and, in particular, recognition invariance to illumination. The main contribution is an algorithm based on the ...
Ognjen Arandjelovic, Roberto Cipolla
ICPR
2006
IEEE
16 years 5 months ago
Automatic Sports Video Genre Classification using Pseudo-2D-HMM
Building a generic content-based sports video analysis system remains a challenging problem because of the diversity in sports rules and game features which makes it difficult to ...
Jinjun Wang, Changsheng Xu, Engsiong Chng