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» How Good Is a Kernel When Used as a Similarity Measure
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IJCNN
2008
IEEE
14 years 1 months ago
Support vector machines and dynamic time warping for time series
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
IPM
2007
139views more  IPM 2007»
13 years 7 months ago
"What is a good digital library?" - A quality model for digital libraries
In this article, we elaborate on the meaning of quality in digital libraries (DLs) by proposing a model that is deeply grounded in a formal framework for digital libraries: 5S (St...
Marcos André Gonçalves, Bárba...
CASES
2006
ACM
14 years 1 months ago
Limitations of special-purpose instructions for similarity measurements in media SIMD extensions
Microprocessor vendors have provided special-purpose instructions such as psadbw and pdist to accelerate the sumof-absolute differences (SAD) similarity measurement. The usefulne...
Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...
ICASSP
2011
IEEE
12 years 11 months ago
Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Hanchao Qi, Shannon Hughes
IJCNN
2000
IEEE
13 years 11 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio