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» Clustering by Similarity in an Auxiliary Space
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ACL
2011
14 years 4 months ago
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
Ivan Titov
107
Voted
ICIP
2003
IEEE
16 years 1 months ago
Morphological hat-transform scale spaces and their use in texture classification
In this paper we present a multi-scale morphological method for use in texture classification. A connected operator similar to the morphological hat-transform is defined, and two ...
Andrei Jalba, Jos B. T. M. Roerdink, Michael H. F....
PR
2000
103views more  PR 2000»
15 years 3 days ago
Genetic algorithm-based clustering technique
A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this article. The searching capability of genetic algorithms is exploited in order to search f...
Ujjwal Maulik, Sanghamitra Bandyopadhyay
LCPC
2007
Springer
15 years 6 months ago
Supporting Huge Address Spaces in a Virtual Machine for Java on a Cluster
Abstract. To solve problems that require far more memory than a single machine can supply, data can be swapped to disk in some manner, it can be compressed, and/or the memory of mu...
Ronald Veldema, Michael Philippsen
CVPR
1998
IEEE
16 years 2 months ago
Clustering Appearances of 3D Objects
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the space of all images and partitions the images into sets that form smooth and par...
Ronen Basri, Dan Roth, David W. Jacobs