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NLPRS
2001
Springer
14 years 1 months ago
Ensembling based on Feature Space Restructuring with Application to WSD
We propose a new ensembling method of Support Vector Machines (SVMs) based on Feature Space Restructuring. In the proposed method, the weighted majority voting method is applied f...
Hiroya Takamura, Hiroyasu Yamada, Taku Kudo, Kaoru...
DSP
2007
13 years 8 months ago
Knowledge based adaptive processing for ground moving target indication
This paper presents a preliminary knowledge based approach to Space-Time Adaptive Processing (STAP) for ground moving target indication from an airborne platform. The KB-processor...
Raviraj Adve, Todd Hale, Michael C. Wicks
ICIP
2005
IEEE
14 years 10 months ago
Evaluation of color spaces for edge classification in outdoor scenes
Knowing which edges in an image denote shadow edges and which are due to object boundaries or changes in surface reflectance has important applications in both computer vision and...
Erum Arif Khan, Erik Reinhard
ICIP
2006
IEEE
14 years 10 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
ICIP
2005
IEEE
14 years 10 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