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KDD
2012
ACM
196views Data Mining» more  KDD 2012»
13 years 2 days ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
BMCBI
2007
202views more  BMCBI 2007»
14 years 9 months ago
ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
Background: Protein interactions support cell organization and mediate its response to any specific stimulus. Recent technological advances have produced large data-sets that aim ...
Massimo Bernaschi, Filippo Castiglione, Alessandra...
ECCV
2006
Springer
15 years 11 months ago
Dense Photometric Stereo by Expectation Maximization
Abstract. We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo. Previous approaches using Markov Random Fields (MRF) ...
Tai-Pang Wu, Chi-Keung Tang
KDD
2006
ACM
122views Data Mining» more  KDD 2006»
15 years 10 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
15 years 4 months ago
Path diversity is only part of the problem
— The goal of motion planning is to find a feasible path that connects two positions and is free from collision with obstacles. Path sets are a robust approach to this problem i...
Ross A. Knepper, Matthew T. Mason