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FOCS
1990
IEEE
13 years 11 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
TIP
1998
128views more  TIP 1998»
13 years 7 months ago
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee,...
EUROCOLT
1995
Springer
13 years 11 months ago
The structure of intrinsic complexity of learning
Limiting identification of r.e. indexes for r.e. languages (from a presentation of elements of the language) and limiting identification of programs for computable functions (fr...
Sanjay Jain, Arun Sharma
ECCV
1992
Springer
14 years 9 months ago
Determining Three-Dimensional Shape from Orientation and Spatial Frequency Disparities
Abstract. Binocular di erences in orientation and foreshortening are systematically related to surface slant and tilt and could potentially be exploited by biological and machine v...
David G. Jones, Jitendra Malik
MICCAI
2004
Springer
14 years 8 months ago
Enhancement of Visual Realism with BRDF for Patient Specific Bronchoscopy Simulation
Abstract. This paper presents a novel method for photorealistic rendering of the bronchial lumen by directly deriving matched shading and texture parameters from video bronchoscope...
Adrian James Chung, Fani Deligianni, Pallav Shah, ...