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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 12 days ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
MJ
2011
288views Multimedia» more  MJ 2011»
14 years 6 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
AAAI
2007
15 years 2 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
TITB
1998
129views more  TITB 1998»
14 years 11 months ago
Interactive DICOM image transmission and telediagnosis over the European ATM network
Abstract— The European High-Performance Information Infrastructure in Medicine, nB3014 (HIM3) project of the Trans-European Network—Integrated Broadband Communications (TEN-IB...
Emanuele Neri, Jean-Philippe Thiran, Davide Carame...
ICIP
2008
IEEE
16 years 1 months ago
Motion estimation with entropy coding considerations in H.264/AVC
In many modern video encoders, motion estimation is usually formulated as a Lagrangian cost function that balances motion prediction accuracy and the rate to transmit motion vecto...
Zhen Li, Alexis Michael Tourapis
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