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NIPS
1998
15 years 6 months ago
Learning to Estimate Scenes from Images
We seek the scene interpretation that best explains image data. For example, we may want to infer the projected velocities (scene) which best explain two consecutive image frames ...
William T. Freeman, Egon C. Pasztor
NIPS
1997
15 years 6 months ago
Bayesian Model of Surface Perception
Image intensity variations can result from several different object surface effects, including shading from 3-dimensional relief of the object, or paint on the surface itself. An ...
William T. Freeman, Paul A. Viola
ACL
1996
15 years 6 months ago
Combining Trigram-based and Feature-based Methods for Context-Sensitive Spelling Correction
This paper addresses the problem of correcting spelling errors that result in valid, though unintended words (such as peace and piece, or quiet and quite) and also the problem of ...
Andrew R. Golding, Yves Schabes
SOQUA
2007
15 years 5 months ago
ConTest listeners: a concurrency-oriented infrastructure for Java test and heal tools
With the proliferation of the new multi-core personal computers, and the explosion of the usage of highly concurrent machine configuration, concurrent code moves from being writt...
Yarden Nir-Buchbinder, Shmuel Ur
ECCV
2010
Springer
15 years 5 months ago
Image Invariants for Smooth Reflective Surfaces
Image invariants are those properties of the images of an object that remain unchanged with change in camera parameters, illumination etc. In this paper, we derive an image invari...