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MICAI
2007
Springer
14 years 1 months ago
Weighted Instance-Based Learning Using Representative Intervals
Instance-based learning algorithms are widely used due to their capacity to approximate complex target functions; however, the performance of this kind of algorithms degrades signi...
Octavio Gómez, Eduardo F. Morales, Jes&uacu...
MONET
2006
107views more  MONET 2006»
13 years 7 months ago
Utilization and fairness in spectrum assignment for opportunistic spectrum access
The Open Spectrum approach to spectrum access can achieve near-optimal utilization by allowing devices to sense and utilize available spectrum opportunistically. However, a naive d...
Chunyi Peng, Haitao Zheng, Ben Y. Zhao
RT
2004
Springer
14 years 1 months ago
All-Frequency Relighting of Non-Diffuse Objects using Separable BRDF Approximation
This paper presents a technique, based on pre-computed light transport and separable BRDF approximation, for interactive rendering of non-diffuse objects under all-frequency envir...
Rui Wang 0003, John Tran, David P. Luebke
ICML
2010
IEEE
13 years 8 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
ISCAS
1999
IEEE
120views Hardware» more  ISCAS 1999»
14 years 4 hour ago
Vector median-rational hybrid filters for multichannel image processing
In this letter, a new class of nonlinear filters called vector median-rational hybrid filters (VMRHF's) for multispectral image processing is introduced and applied to the col...
Lazhar Khriji, Moncef Gabbouj