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GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 5 months ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana
ACCV
2009
Springer
15 years 9 months ago
Video Segmentation Using Iterated Graph Cuts Based on Spatio-temporal Volumes
Abstract. We present a novel approach to segmenting video using iterated graph cuts based on spatio-temporal volumes. We use the mean shift clustering algorithm to build the spatio...
Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kana...
AIRS
2005
Springer
15 years 10 months ago
MPEG-7 Visual-Temporal Clustering for Digital Image Collections
We present a novel, yet simple algorithm for clustering large collections of digital images. The method is applicable to consumer digital photo libraries, where it can be used to o...
Robert O'Callaghan, Miroslaw Bober
ICCS
2009
Springer
15 years 11 months ago
Frequent Itemset Mining for Clustering Near Duplicate Web Documents
A vast amount of documents in the Web have duplicates, which is a challenge for developing efficient methods that would compute clusters of similar documents. In this paper we use ...
Dmitry I. Ignatov, Sergei O. Kuznetsov
SETN
2004
Springer
15 years 9 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas