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» On the Complexity of Train Assignment Problems
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ISMAR
2005
IEEE
15 years 9 months ago
Synchronizing 3D Movements for Quantitative Comparison and Simultaneous Visualization of Actions
In our poster presentation at ISMAR’04 [11], we proposed the idea of an AR training solution including capture and 3D replays of subtle movements. The crucial part missing for r...
Tobias Sielhorst, Tobias Blum, Nassir Navab
CEC
2003
IEEE
15 years 9 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds
PR
2007
216views more  PR 2007»
15 years 3 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee
CVPR
2010
IEEE
16 years 11 days ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce
FGR
2004
IEEE
161views Biometrics» more  FGR 2004»
15 years 7 months ago
AdaBoost with Totally Corrective Updates for Fast Face Detection
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
Jan Sochman, Jiri Matas