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» Experiments with a New Boosting Algorithm
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103
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ECML
2003
Springer
15 years 9 months ago
Self-evaluated Learning Agent in Multiple State Games
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Koichi Moriyama, Masayuki Numao
ISPD
2009
ACM
141views Hardware» more  ISPD 2009»
15 years 10 months ago
A faster approximation scheme for timing driven minimum cost layer assignment
As VLSI technology moves to the 65nm node and beyond, interconnect delay greatly limits the circuit performance. As a critical component in interconnect synthesis, layer assignmen...
Shiyan Hu, Zhuo Li, Charles J. Alpert
CVPR
2010
IEEE
16 years 5 days ago
Gesture Recognition by Learning Local Motion Signatures
This paper overviews a new gesture recognition framework based on learning local motion signatures (LMSs) introduced by [1]. After the generation of these LMSs computed on one i...
Mohamed-Becha Kaaniche, Francois Bremond
CVPR
2010
IEEE
1413views Computer Vision» more  CVPR 2010»
16 years 4 days ago
Free-Shape Subwindow Search for Object Localization
Object localization in an image is usually handled by searching for an optimal subwindow that tightly covers the object of interest. However, the subwindows considered in previous ...
Zhiqi Zhang, Yu Cao, Dhaval Salvi, Kenton Oliver, ...
122
Voted
ACCV
2009
Springer
15 years 10 months ago
From Ramp Discontinuities to Segmentation Tree
Abstract. This paper presents a new algorithm for low-level multiscale segmentation of images. The algorithm is designed to detect image regions regardless of their shapes, sizes, ...
Emre Akbas, Narendra Ahuja