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» Dominant Sets and Pairwise Clustering
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ECCV
2010
Springer
14 years 1 days ago
Building Compact Local Pairwise Codebook with Joint Feature Space Clustering
Abstract. This paper presents a simple, yet effective method of building a codebook for pairs of spatially close SIFT descriptors. Integrating such codebook into the popular bag-o...
ICCV
2005
IEEE
14 years 9 months ago
A Spectral Technique for Correspondence Problems Using Pairwise Constraints
We present an efficient spectral method for finding consistent correspondences between two sets of features. We build the adjacency matrix M of a graph whose nodes represent the p...
Marius Leordeanu, Martial Hebert
BMVC
2010
13 years 5 months ago
Learning Directional Local Pairwise Bases with Sparse Coding
Recently, sparse coding has been receiving much attention in object and scene recognition tasks because of its superiority in learning an effective codebook over k-means clusterin...
Nobuyuki Morioka, Shin'ichi Satoh
IDA
2009
Springer
14 years 1 months ago
How to Control Clustering Results? Flexible Clustering Aggregation
One of the most important and challenging questions in the area of clustering is how to choose the best-fitting algorithm and parameterization to obtain an optiml clustering for t...
Martin Hahmann, Peter Benjamin Volk, Frank Rosenth...
ESA
2004
Springer
97views Algorithms» more  ESA 2004»
14 years 11 days ago
Radio Network Clustering from Scratch
Abstract. We propose a novel randomized algorithm for computing a dominating set based clustering in wireless ad-hoc and sensor networks. The algorithm works under a model which ca...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer