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» Learning Generative Models via Discriminative Approaches
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IJCV
2000
164views more  IJCV 2000»
13 years 10 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
ICCS
2007
Springer
14 years 4 months ago
High Quality Surface Mesh Generation for Multi-physics Bio-medical Simulations
Abstract. Manual surface reconstruction is still an everyday practice in applications involving complex irregular domains necessary for modeling biological systems. Rapid developme...
Dominik Szczerba, Robert H. P. McGregor, Gá...
BMCBI
2010
149views more  BMCBI 2010»
13 years 10 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
14 years 4 months ago
Real-time learning of resolved velocity control on a Mitsubishi PA-10
Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
Jan Peters, Duy Nguyen-Tuong
CVPR
2012
IEEE
12 years 18 days ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...