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NIPS
2001
15 years 8 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
ALGORITHMICA
2000
80views more  ALGORITHMICA 2000»
15 years 6 months ago
Geometric Eccentricity and the Complexity of Manipulation Plans
Complexity bounds for algorithms for robotic motion and manipulation can be misleading when they are constructed with pathological `worst-case' scenarios that rarely appear i...
A. Frank van der Stappen, Kenneth Y. Goldberg
BMCBI
2010
154views more  BMCBI 2010»
15 years 6 months ago
EnvMine: A text-mining system for the automatic extraction of contextual information
Background: For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of thei...
Javier Tamames, Victor de Lorenzo
160
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ICPR
2004
IEEE
16 years 7 months ago
An Efficient Automatic Redeye Detection and Correction Algorithm
A fully automatic redeye detection and correction algorithm is presented to address the redeye artifacts in digital photos. The algorithm contains a redeye detection part and a co...
Dan Tretter, Huitao Luo, Jonathan Yen
RSFDGRC
2005
Springer
127views Data Mining» more  RSFDGRC 2005»
16 years 7 days ago
Hierarchical Information Maps
We discuss the problems of spatio-temporal reasoning in the context of hierarchical information maps and approximate reasoning networks (AR networks). Hierarchical information maps...
Andrzej Skowron, Piotr Synak