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AIPS
2008
15 years 14 days ago
Structural Patterns Heuristics via Fork Decomposition
We consider a generalization of the PDB homomorphism abstractions to what is called "structural patterns". The bais in abstracting the problem in hand into provably trac...
Michael Katz, Carmel Domshlak
ICML
2010
IEEE
14 years 11 months ago
Accelerated dual decomposition for MAP inference
Approximate MAP inference in graphical models is an important and challenging problem for many domains including computer vision, computational biology and natural language unders...
Vladimir Jojic, Stephen Gould, Daphne Koller
78
Voted
ICPR
2000
IEEE
15 years 11 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
EJASMP
2010
114views more  EJASMP 2010»
14 years 5 months ago
Wide-Band Audio Coding Based on Frequency-Domain Linear Prediction
In this paper, we re-visit an original concept of speech coding in which the signal is separated into the carrier modulated by the signal envelope. A recently developed technique, ...
Petr Motlícek, Sriram Ganapathy, Hynek Herm...
93
Voted
MLMI
2007
Springer
15 years 4 months ago
Frequency Domain Linear Prediction for QMF Sub-bands and Applications to Audio Coding
Abstract. This paper proposes an analysis technique for wide-band audio applications based on the predictability of the temporal evolution of Quadrature Mirror Filter (QMF) sub-ban...
Petr Motlícek, Sriram Ganapathy, Hynek Herm...