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PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
15 years 4 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
ICMLA
2009
14 years 7 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
ICASSP
2011
IEEE
14 years 1 months ago
Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization
While nonnegative matrix factorization (NMF) has successfully been applied for gain-robust multi-pitch detection, a method to track pitch values over time was not provided. We emb...
Robert Peharz, Michael Wohlmayr, Franz Pernkopf
TOG
2002
129views more  TOG 2002»
14 years 9 months ago
Homomorphic factorization of BRDF-based lighting computation
Several techniques have been developed to approximate Bidirectional Reflectance Distribution Functions (BRDF) with acceptable quality and performance for realtime applications. Th...
Lutz Latta, Andreas Kolb
CVPR
2009
IEEE
16 years 5 months ago
Factorization for Non-Rigid and Articulated Structure using Metric Projections
This paper describes a new algorithm for recovering the 3D shape and motion of deformable and articulated objects purely from uncalibrated 2D image measurements using an iterati...
Alessio Del Bue, João M. F. Xavier, Lourdes...