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ICASSP
2011
IEEE
14 years 6 months ago
Covariate-dependent dictionary learning and sparse coding
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, Dav...
104
Voted
CICLING
2006
Springer
15 years 4 months ago
Enriching Wordnets with New Relations and with Event and Argument Structures
Abstract. This paper argues that wordnets, being concept-based computational lexica, should include information on event and argument structures. This general approach is relevant ...
Raquel Amaro, Rui Pedro Chaves, Palmira Marrafa, S...
EMNLP
2009
15 years 8 days ago
Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification
This work investigates design choices in modeling a discourse scheme for improving opinion polarity classification. For this, two diverse global inference paradigms are used: a su...
Swapna Somasundaran, Galileo Namata, Janyce Wiebe,...
135
Voted
ICRA
2009
IEEE
147views Robotics» more  ICRA 2009»
15 years 9 months ago
Equipping robot control programs with first-order probabilistic reasoning capabilities
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
Dominik Jain, Lorenz Mösenlechner, Michael Be...
AAAI
2011
14 years 2 months ago
Global Seismic Monitoring: A Bayesian Approach
The automated processing of multiple seismic signals to detect and localize seismic events is a central tool in both geophysics and nuclear treaty verification. This paper report...
Nimar S. Arora, Stuart Russell, Paul Kidwell, Erik...