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» Methods for Combining Statistical Models of Music
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AAAI
2012
11 years 11 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
SIGIR
2011
ACM
12 years 11 months ago
Parameterized concept weighting in verbose queries
The majority of the current information retrieval models weight the query concepts (e.g., terms or phrases) in an unsupervised manner, based solely on the collection statistics. I...
Michael Bendersky, Donald Metzler, W. Bruce Croft
MJ
2011
288views Multimedia» more  MJ 2011»
13 years 3 months ago
Emulation-based transient thermal modeling of 2D/3D systems-on-chip with active cooling
New tendencies envisage 2D/3D Multi-Processor System-On-Chip (MPSoC) as a promising solution for the consumer electronics market. MPSoCs are complex to design, as they must execute...
Pablo Garcia Del Valle, David Atienza
ICASSP
2008
IEEE
14 years 2 months ago
Multi-source DOA estimation in a reverberant room
In a reverberant scenario, phase transformed weighted algorithms are more robust than Maximum Likelihood (ML) because of the insufficiency of the data model to incorporate reverb...
Andreas M. Ali, Ralph E. Hudson, Kung Yao
NIPS
2007
13 years 10 months ago
Hierarchical Penalization
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
Marie Szafranski, Yves Grandvalet, Pierre Morizet-...