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» Learning Models for Predicting Recognition Performance
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ICCV
2009
IEEE
15 years 5 days ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
IROS
2009
IEEE
145views Robotics» more  IROS 2009»
15 years 9 months ago
Action-related place-based mobile manipulation
— In mobile manipulation, the position to which the robot navigates has a large influence on the ease with which a subsequent manipulation action can be performed. Whether a man...
Freek Stulp, Andreas Fedrizzi, Michael Beetz
WWW
2004
ACM
16 years 3 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
CVPR
2009
IEEE
16 years 9 months ago
Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description
This paper presents a novel approach to skim and describe 3D videos. 3D video is an imaging technology which consists in a stream of 3D models in motion captured by a synchronized ...
Tony Tung (Kyoto University), Takashi Matsuyama (K...
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
15 years 3 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson