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CVPR
1997
IEEE
16 years 5 months ago
Tracking non-rigid, moving objects based on color cluster flow
In this contribution we present an algorithm for tracking non-rigid, moving objects in a sequence of colored images, which were recorded by a non-stationary camera. The applicatio...
Bernd Heisele, Ulrich Kressel, W. Ritter
ICPR
2008
IEEE
16 years 4 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
WWW
2007
ACM
16 years 4 months ago
Collaborative ICT for Indian business clusters
Indian business clusters have contributed immensely to the country's industrial output, poverty alleviation and employment generation. However, with recent globalization thes...
Soumya Roy, Shantanu Biswas
WWW
2010
ACM
15 years 10 months ago
Web-scale k-means clustering
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
D. Sculley
102
Voted
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
15 years 9 months ago
Incremental Spectral Clustering and Its Application To Topological Mapping
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
Christoffer Valgren, Tom Duckett, Achim J. Lilient...