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TNN
2008
129views more  TNN 2008»
14 years 11 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens
IPPS
2006
IEEE
15 years 5 months ago
Mapping DSP applications on processor systems with coarse-grain reconfigurable hardware
In this paper, we present performance results from mapping five real-world DSP applications on an embedded system-on-chip that incorporates coarse-grain reconfigurable logic with ...
Michalis D. Galanis, Grigoris Dimitroulakos, Const...
CVPR
2010
IEEE
15 years 4 months ago
Bayes Optimal Kernel Discriminant Analysis
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
Di You, Aleix Martinez
MVA
2007
149views Computer Vision» more  MVA 2007»
15 years 1 months ago
Extracting Object Regions Using Locally Estimated Probability Density Functions
In this paper, a novel method for estimating a precise object region using a given rough object region is proposed. For determining whether each pixel belongs to an object or not,...
Hidenori Takeshima, Takashi Ida, Toshimitsu Kaneko
ICML
2007
IEEE
16 years 14 days ago
A kernel path algorithm for support vector machines
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky