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» A Data Locality Optimizing Algorithm
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ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
16 years 3 hour ago
Summarization - Compressing Data into an Informative Representation
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
Varun Chandola, Vipin Kumar
ICDCS
2010
IEEE
15 years 10 months ago
New Algorithms for Planning Bulk Transfer via Internet and Shipping Networks
—Cloud computing is enabling groups of academic collaborators, groups of business partners, etc., to come together in an ad-hoc manner. This paper focuses on the group-based data...
Brian Cho, Indranil Gupta
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 11 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
IJCV
2007
179views more  IJCV 2007»
15 years 6 months ago
A Performance Study on Different Cost Aggregation Approaches Used in Real-Time Stereo Matching
Many vision applications require high-accuracy dense disparity maps in real-time and online. Due to time constraint, most real-time stereo applications rely on local winner-takes-a...
Minglun Gong, Ruigang Yang, Liang Wang 0002, Mingw...
NIPS
2003
15 years 7 months ago
Geometric Clustering Using the Information Bottleneck Method
We argue that K–means and deterministic annealing algorithms for geometric clustering can be derived from the more general Information Bottleneck approach. If we cluster the ide...
Susanne Still, William Bialek, Léon Bottou