Sciweavers

1553 search results - page 13 / 311
» Learning from Multiple Sources of Inaccurate Data
Sort
View
ICPR
2002
IEEE
14 years 8 months ago
Integrated Event Recognition from Multiple Sources
This paper proposes a system architecture for event recognition that integrates information from multiple sources (e.g., gesture and speech recognition from distributed sensors in...
Hiroaki Kawashima, Takashi Matsuyama
PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
14 years 25 days ago
Learning from Multi-source Data
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
Élisa Fromont, Marie-Odile Cordier, Rene Qu...
BIOINFORMATICS
2004
90views more  BIOINFORMATICS 2004»
13 years 7 months ago
GDPC: connecting researchers with multiple integrated data sources
Summary: The goal of this project is to simplify access to genomic diversity and phenotype data, thereby encouraging reuse of this data. The Genomic Diversity and Phenotype Connec...
Terry M. Casstevens, Edward S. Buckler
BMCBI
2008
100views more  BMCBI 2008»
13 years 7 months ago
High-precision high-coverage functional inference from integrated data sources
Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...
ICASSP
2011
IEEE
12 years 11 months ago
Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer fun
This paper presents a sound source (talker) localization method using only a single microphone. In our previous work [1], we discussed the single-channel sound source localization...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki