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» Learning Models for Object Recognition
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ICPR
2008
IEEE
16 years 4 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
HCI
2007
15 years 4 months ago
GART: The Gesture and Activity Recognition Toolkit
The Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed to enable the development of gestureplications. GART provides an abstraction to machine lear...
Kent Lyons, Helene Brashear, Tracy L. Westeyn, Jun...
SAC
2005
ACM
15 years 8 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
SSPR
2004
Springer
15 years 8 months ago
EM Initialisation for Bernoulli Mixture Learning
Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specificall...
Alfons Juan, José García-Herná...
ICCV
2007
IEEE
16 years 5 months ago
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback
Thanks to recent progress in category-level object recognition, we have now come to a point where these techniques have gained sufficient maturity and accuracy to succesfully feed...
Alexander Thomas, Vittorio Ferrari, Bastian Leibe,...