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» Terrain mapping and classification using neural networks
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CA
2003
IEEE
15 years 3 months ago
Expressive Gesture Animation Based on Non Parametric Learning of Sensory-Motor Models
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
Sylvie Gibet, Pierre-Francois Marteau
ISMAR
2008
IEEE
15 years 4 months ago
Virtual redlining for civil engineering in real environments
Field workers of utility companies are regularly engaged in outdoor tasks such as network planning, maintenance and inspection of underground infrastructure. Redlining is the term...
Gerhard Schall, Erick Méndez, Dieter Schmal...
HIS
2004
14 years 11 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
JUCS
2008
136views more  JUCS 2008»
14 years 9 months ago
Crime Scene Representation (2D, 3D, Stereoscopic Projection) and Classification
: In this paper we provide a study about crime scenes and its features used in criminal investigations. We argue that the crime scene provides a large set of features that can be u...
Ricardo O. Abu Hana, Cinthia Obladen de Almendra F...
JCP
2008
121views more  JCP 2008»
14 years 9 months ago
Relation Organization of SOM Initial Map by Improved Node Exchange
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...
Tsutomu Miyoshi