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ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 8 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
142
Voted
CVPR
2005
IEEE
15 years 7 months ago
Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI
Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human Computer Interaction. This paper focuses on the development of a computing...
Zhihong Zeng, Jilin Tu, Brian Pianfetti, Ming Liu,...
142
Voted
AVI
2010
14 years 11 months ago
An infrastructure for creating graphical indicators of the learner profile by mashing up different sources
The procedures to collect information about users are well known in computer science till long time. They range from getting explicit information from users, required in order to ...
Luca Mazzola, Riccardo Mazza
AAAI
1994
15 years 3 months ago
Learning to Reason
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Roni Khardon, Dan Roth
BMCBI
2006
112views more  BMCBI 2006»
15 years 1 months ago
Algorithms for incorporating prior topological information in HMMs: application to transmembrane proteins
Background: Hidden Markov Models (HMMs) have been extensively used in computational molecular biology, for modelling protein and nucleic acid sequences. In many applications, such...
Pantelis G. Bagos, Theodore D. Liakopoulos, Stavro...