Sciweavers

2440 search results - page 178 / 488
» Abstraction Learning
Sort
View
136
Voted
ACCV
2009
Springer
15 years 11 months ago
Learning Group Activity in Soccer Videos from Local Motion
Abstract. This paper proposes a local motion-based approach for recognizing group activities in soccer videos. Given the SIFT keypoint matches on two successive frames, we propose ...
Yu Kong, Weiming Hu, Xiaoqin Zhang, Hanzi Wang, Yu...
142
Voted
CPAIOR
2009
Springer
15 years 11 months ago
Learning How to Propagate Using Random Probing
Abstract. In constraint programming there are often many choices regarding the propagation method to be used on the constraints of a problem. However, simple constraint solvers usu...
Efstathios Stamatatos, Kostas Stergiou
ICIW
2008
IEEE
15 years 11 months ago
NAT Traversal for Pure P2P e-Learning System
Abstract—In this paper, we present Network Address Translator (NAT) traversal technique suitable for pure P2P applications, such as a distributed asynchronous Web-Based Training ...
Kazuo Kuramochi, Takao Kawamura, Kazunori Sugahara
VTS
2006
IEEE
108views Hardware» more  VTS 2006»
15 years 10 months ago
Bridging the Accuracy of Functional and Machine-Learning-Based Mixed-Signal Testing
Abstract— Numerous machine-learning-based test methodologies have been proposed in recent years as a fast alternative to the standard functional testing of mixed-signal/RF integr...
Haralampos-G. D. Stratigopoulos, Yiorgos Makris
179
Voted
ECAI
2004
Springer
15 years 10 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana