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ICPR
2004
IEEE
14 years 10 months ago
Object Detection using Background Context
Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to utilize contextual information and perform a staggered recognitio...
Ola Ramström, Henrik I. Christensen
HPDC
2008
IEEE
14 years 3 months ago
Dynasa: adapting grid applications to safety using fault-tolerant methods
Grid applications have been prone to encountering problems such as failures or malicious attacks during execution, due to their distributed and large-scale features. The applicati...
Xuanhua Shi, Jean-Louis Pazat, Eric Rodriguez, Hai...
ECCV
2008
Springer
14 years 11 months ago
Quick Shift and Kernel Methods for Mode Seeking
We show that the complexity of the recently introduced medoid-shift algorithm in clustering N points is O(N2 ), with a small constant, if the underlying distance is Euclidean. This...
Andrea Vedaldi, Stefano Soatto
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
IIWAS
2008
13 years 10 months ago
Web-based knowledge database construction method for supporting design
In recent years, comprehensive problem solving by artefact designers has been required as demands related to artefacts become greater and more complicated. In relation to this back...
Kiyotaka Takahashi, Aki Sugiyama, Yoshiki Shimomur...