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AROBOTS
2004
99views more  AROBOTS 2004»
15 years 3 months ago
Bayesian Robot Programming
We propose a new method to program robots based on Bayesian inference and learning. It is called BRP for Bayesian Robot Programming. The capacities of this programming method are d...
Olivier Lebeltel, Pierre Bessière, Julien D...
IAJIT
2010
101views more  IAJIT 2010»
15 years 2 months ago
Left Ventricle Tracking in Isotopic Ventriculography Using Statistical Deformable Models
: The left ventricle tracking in planar scintigraphic images is an important step to study the coronary state. However, it is not as simple as we thought, because of the bad qualit...
Nawrès Khalifa, Said Ettaeib, Yosra Wahabi,...
ICASSP
2011
IEEE
14 years 7 months ago
An approach to sequential grouping in cochannel speech
Model-based methods for sequential organization in cochannel speech require pretrained speaker models and often prior knowledge of participating speakers. We propose an unsupervis...
Ke Hu, DeLiang Wang
SAMOS
2007
Springer
15 years 10 months ago
Evaluating Large System-on-Chip on Multi-FPGA Platform
This paper presents a configurable base architecture tailorable for different applications. It allows simple and rapid way to evaluate and prototype large Multi-Processor System-on...
Ari Kulmala, Erno Salminen, Timo D. Hämä...
ICMCS
2006
IEEE
141views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Coarse-to-Fine Pedestrian Localization and Silhouette Extraction for the Gait Challenge Data Sets
This paper presents a localized coarse-to-fine algorithm for efficient and accurate pedestrian localization and silhouette extraction for the Gait Challenge data sets. The coars...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...