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» Approximation Algorithms for Hamming Clustering Problems
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EMMCVPR
1997
Springer
15 years 1 months ago
Deterministic Annealing for Unsupervised Texture Segmentation
Abstract. In this paper a rigorous mathematical framework of deterministic annealing and mean-field approximation is presented for a general class of partitioning, clustering and ...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
AFRIGRAPH
2003
ACM
15 years 1 months ago
Efficient clustering and visibility calculation for global illumination
Using a radiosity method to estimate light inter-reflections within large scenes still remains a difficult task. The two main reasons are: (i) the computations entailed by the rad...
Daniel Meneveaux, Kadi Bouatouch, Gilles Subrenat,...
SODA
2003
ACM
107views Algorithms» more  SODA 2003»
14 years 11 months ago
Fault-tolerant facility location
We consider a fault-tolerant generalization of the classical uncapacitated facility location problem, where each client j has a requirement that rj distinct facilities serve it, i...
Chaitanya Swamy, David B. Shmoys
ICML
2007
IEEE
15 years 10 months ago
Online discovery of similarity mappings
We consider the problem of choosing, sequentially, a map which assigns elements of a set A to a few elements of a set B. On each round, the algorithm suffers some cost associated ...
Alexander Rakhlin, Jacob Abernethy, Peter L. Bartl...