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ICASSP
2011
IEEE
12 years 11 months ago
Dual constrained TV-based regularization
Algorithms based on the minimization of the Total Variation are prevalent in computer vision. They are used in a variety of applications such as image denoising, compressive sensi...
Camille Couprie, Hugues Talbot, Jean-Christophe Pe...
EMNLP
2006
13 years 8 months ago
Two graph-based algorithms for state-of-the-art WSD
This paper explores the use of two graph algorithms for unsupervised induction and tagging of nominal word senses based on corpora. Our main contribution is the optimization of th...
Eneko Agirre, David Martínez, Oier Lopez de...
VLDB
2004
ACM
163views Database» more  VLDB 2004»
14 years 22 days ago
Compressing Large Boolean Matrices using Reordering Techniques
Large boolean matrices are a basic representational unit in a variety of applications, with some notable examples being interactive visualization systems, mining large graph struc...
David S. Johnson, Shankar Krishnan, Jatin Chhugani...
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 7 months ago
Causal Markov condition for submodular information measures
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
Bastian Steudel, Dominik Janzing, Bernhard Sch&oum...
IJRR
2002
126views more  IJRR 2002»
13 years 7 months ago
Sensor-based Coverage of Unknown Environments
The goal of coverage path planning is to determine a path that passes a detector over all points in an environment. This work prescribes a provably complete coverage path planner ...
Ercan U. Acar, Howie Choset