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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 10 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon
IJPRAI
2008
144views more  IJPRAI 2008»
13 years 8 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
CVPR
2005
IEEE
14 years 10 months ago
Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras
This paper proposes a novel method for matching road vehicles between two non-overlapping cameras. The matching problem is formulated as a same-different classification problem: p...
Ying Shan, Harpreet S. Sawhney, Rakesh Kumar
ICASSP
2008
IEEE
14 years 3 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
ICMCS
2008
IEEE
122views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Wyner-Ziv coding of multiview images with unsupervised learning of two disparities
Wyner-Ziv coding of multiview images is an attractive solution because it avoids communications between individual cameras. To achieve good rate-distortion performance, the Wyner-...
David M. Chen, David P. Varodayan, Markus Flierl, ...