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3DPVT
2004
IEEE
108views Visualization» more  3DPVT 2004»
15 years 10 months ago
Unsupervised Motion Classification by Means of Efficient Feature Selection and Tracking
This paper presents an efficient technique for human motion recognition; in particular, it is focused on labeling a movement as a walking or running displacement, which are the mo...
Angel Domingo Sappa, Niki Aifanti, Sotiris Malassi...
ACIVS
2006
Springer
15 years 10 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
CGI
2004
IEEE
15 years 10 months ago
Depicting Shape Features with Directional Strokes and Spotlighting
This paper presents a new algorithm and technique for rendering triangular surfaces in pen-and-ink edge-based strokes. Our technique integrates two very important illustration str...
Mario Costa Sousa, Faramarz F. Samavati, Meru Brun...
BPM
2006
Springer
117views Business» more  BPM 2006»
15 years 10 months ago
Web Service E-Contract Establishment Using Features
Electronic contracts describe inter-organizational business processes in terms of supply and consumption of electronic services (commonly Web services). In a given contract domain,...
Marcelo Fantinato, Itana Maria de Souza Gimenes, M...
COLING
2008
15 years 7 months ago
Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
We present an algorithm for unsupervised induction of labeled parse trees. The algorithm has three stages: bracketing, initial labeling, and label clustering. Bracketing is done f...
Roi Reichart, Ari Rappoport