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» Algorithm For Automatic Interpretation Of Noun Sequences
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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
13 years 10 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
ECAI
2000
Springer
13 years 9 months ago
Activity Recognition from Video Sequences using Declarative Models
Abstract. We propose here a new approach for video sequence interpretation based on declarative models of activities. The aim of the video sequence interpretation is to recognize i...
Nathanaël Rota, Monique Thonnat
IVC
2006
171views more  IVC 2006»
13 years 5 months ago
Motion detection and tracking using belief indicators for an automatic visual-surveillance system
A motion detection and tracking algorithm for human and car activity surveillance is presented and evaluated by using the Pets'2000 test sequence. Proposed approach uses a te...
Cina Motamed
BMCBI
2008
164views more  BMCBI 2008»
13 years 5 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke
CSL
2002
Springer
13 years 5 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy