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76
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ICRA
2010
IEEE
69views Robotics» more  ICRA 2010»
14 years 11 months ago
Probabilistic shadow information spaces
— This paper introduces a Bayesian filter that is specifically designed for counting targets that move outside of the field of view while performing a sensor sweep. Informatio...
Jingjin Yu, Steven M. LaValle
112
Voted
EMNLP
2009
14 years 10 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
ICIP
2006
IEEE
16 years 2 months ago
QP_TR Trust Region Blob Tracking Through Scale-Space
A new approach of tracking objects in image sequences is proposed, in which the constant changes of the size and orientation ofthe target can be precisely described. For each inco...
Jingping Jia, Qing Wang, Yanmei Chai, Rongchun Zha...
86
Voted
ICIP
2006
IEEE
16 years 2 months ago
Optimum Watermark Design by Vector Space Projections
We introduce an optimum watermark embedding technique that satisfies common watermarking requirements such as visual fidelity, sufficient embedding rate, robustness against noise ...
Oktay Altun, Gaurav Sharma, Mark F. Bocko
102
Voted
ICIP
2005
IEEE
16 years 2 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang