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» Feature Construction for Relational Sequence Learning
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IADIS
2004
15 years 1 months ago
Constructing Scorm Compliant Course Based on High Level Petri Nets
With rapid development of the Internet, e-learning system has become more and more popular. Currently, to solve the issue of sharing and reusing of teaching materials in different...
Jun-Ming Su, Shian-Shyong Tseng, Chia-Yu Chen, Jui...
106
Voted
ICML
2006
IEEE
16 years 13 days ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
AI
2005
Springer
14 years 11 months ago
Learning to talk about events from narrated video in a construction grammar framework
The current research presents a system that learns to understand object names, spatial relation terms and event descriptions from observing narrated action sequences. The system e...
Peter Ford Dominey, Jean-David Boucher
107
Voted
IMCSIT
2010
14 years 9 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
CVPR
2008
IEEE
16 years 1 months ago
Action recognition by learning mid-level motion features
This paper presents a method for human action recognition based on patterns of motion. Previous approaches to action recognition use either local features describing small patches...
Alireza Fathi, Greg Mori