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ICIP
2007
IEEE
15 years 7 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
PAMI
1998
137views more  PAMI 1998»
15 years 6 months ago
Registration and Integration of Multiple Object Views for 3D Model Construction
—Automatic 3D object model construction is important in applications ranging from manufacturing to entertainment, since CAD models of existing objects may be either unavailable o...
Chitra Dorai, Gang Wang, Anil K. Jain, Carolyn R. ...
TSD
2009
Springer
16 years 1 months ago
On a Computational Model for Language Acquisition: Modeling Cross-Speaker Generalisation
Abstract. The discovery of words by young infants involves two interrelated processes: (a) the detection of recurrent word-like acoustic patterns in the speech signal, and (b) cros...
Louis ten Bosch, Joris Driesen, Hugo Van Hamme, Lo...
IJCAI
2007
15 years 8 months ago
Automated Benchmark Model Generators for Model-Based Diagnostic Inference
This article proposes a Diagnosis Interchange Format (DIF), an XML-based interchange format for Model-Based Diagnosis (MBD). Its main purposes are to allow sharing of diagnostic m...
Gregory M. Provan, Jun Wang
JMIV
2006
100views more  JMIV 2006»
15 years 6 months ago
Mixed-State Auto-Models and Motion Texture Modeling
In image motion analysis as well as for several application fields like daily pluviometry data modeling, observations contain two components of different nature. A first part is ma...
Patrick Bouthemy, C. Hardouin, Gwenaëlle Piri...