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» Dynamically Adapting Kernels in Support Vector Machines
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123
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EMSOFT
2006
Springer
15 years 7 months ago
Multi-level software reconfiguration for sensor networks
In-situ reconfiguration of software is indispensable in embedded networked sensing systems. It is required for re-tasking a deployed network, fixing bugs, introducing new features...
Rahul Balani, Chih-Chieh Han, Ram Kumar Rengaswamy...
CVPR
2010
IEEE
15 years 12 months ago
SVM for Edge-Preserving Filtering
In this paper, we propose a new method to construct an edge-preserving filter which has very similar response to the bilateral filter. The bilateral filter is a normalized convolu...
Qingxiong Yang, Shengnan Wang, Narendra Ahuja
127
Voted
MST
2000
101views more  MST 2000»
15 years 3 months ago
Robust Parallel Computations through Randomization
In this paper we present an efficient general simulation strategy for computations designed for fully operational BSP machines of n ideal processors, on n-processor dynamic-fault-p...
Spyros C. Kontogiannis, Grammati E. Pantziou, Paul...
124
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IJCAI
2007
15 years 5 months ago
Ensembles of Partially Trained SVMs with Multiplicative Updates
The training of support vector machines (SVM) involves a quadratic programming problem, which is often optimized by a complicated numerical solver. In this paper, we propose a muc...
Ivor W. Tsang, James T. Kwok
165
Voted
CVPR
2009
IEEE
16 years 10 months ago
Localized Content-Based Image Retrieval Through Evidence Region Identification
Over the past decade, multiple-instance learning (MIL) has been successfully utilized to model the localized content-based image retrieval (CBIR) problem, in which a bag corresp...
Wu-Jun Li (Hong Kong University of Science and Tec...