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» A Hidden Markov Model Information Retrieval System
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TNN
1998
123views more  TNN 1998»
15 years 6 months ago
A general framework for adaptive processing of data structures
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
Paolo Frasconi, Marco Gori, Alessandro Sperduti
SIGIR
2008
ACM
15 years 7 months ago
Talking the talk vs. walking the walk: salience of information needs in querying vs. browsing
Traditional information retrieval models assume that users express their information needs via text queries (i.e., their "talk"). In this poster, we consider Web browsin...
Mikhail Bilenko, Ryen W. White, Matthew Richardson...
ICIAP
2005
ACM
16 years 7 months ago
Facial Expression Recognition Based on the Belief Theory: Comparison with Different Classifiers
This paper presents a system for classifying facial expressions based on a data fusion process relying on the Belief Theory (BeT). Four expressions are considered: joy, surprise, d...
Zakia Hammal, L. Couvreur, Alice Caplier, Mich&egr...
WACV
2005
IEEE
16 years 21 days ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens
221
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AAAI
1997
15 years 8 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand