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» A Novel Distance Measure for Interval Data
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ICALP
2009
Springer
14 years 8 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty
FGR
2011
IEEE
227views Biometrics» more  FGR 2011»
12 years 11 months ago
Warp that smile on your face: Optimal and smooth deformations for face recognition
— In this work, we present novel warping algorithms for full 2D pixel-grid deformations for face recognition. Due to high variation in face appearance, face recognition is consid...
Tobias Gass, Leonid Pishchulin, Philippe Dreuw, He...
ICPR
2008
IEEE
14 years 2 months ago
Dual clustering for categorization of action sequences
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
Joanna Cheng, Liang Wang, Christopher Leckie
CVPR
2010
IEEE
14 years 2 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
14 years 1 months ago
Mining Thick Skylines over Large Databases
Abstract. People recently are interested in a new operator, called skyline [3], which returns the objects that are not dominated by any other objects with regard to certain measure...
Wen Jin, Jiawei Han, Martin Ester