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NIPS
2004
13 years 9 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona
NIPS
2004
13 years 9 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
ECIS
2000
13 years 9 months ago
What's in a Name? Conceptual Issues in Defining Electronic Commerce
Definitions of electronic commerce are many and varied. They indicate a lack of consensus about what electronic commerce is. `A `definition' implies a direct and unproblematic...
Linda Wilkins, Paula M. C. Swatman, Tanya Castlema...
COLING
1990
13 years 8 months ago
Solving Ambiguities In The Semantic Representation Of Texts
One of the issues of Artificial Intelligence is the transfer of the knowledge conveyed by Natural Language into formalisms that a computer can interpret. In the Natural Language P...
Marie-Claude Landau
ECAI
2010
Springer
13 years 8 months ago
Event Model Learning from Complex Videos using ILP
Abstract. Learning event models from videos has applications ranging from abnormal event detection to content based video retrieval. Relational learning techniques such as Inductiv...
Krishna S. R. Dubba, Anthony G. Cohn, David C. Hog...