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» Adaptive Distances on Sets of Vectors
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TIP
2008
128views more  TIP 2008»
14 years 9 months ago
Wavelet Frame Accelerated Reduced Support Vector Machines
In this paper, a novel method for reducing the runtime complexity of a support vector machine classifier is presented. The new training algorithm is fast and simple. This is achiev...
Matthias Rätsch, Gerd Teschke, Sami Romdhani,...
PR
2008
119views more  PR 2008»
14 years 10 months ago
Binary-image comparison with local-dissimilarity quantification
In this paper, we present a method for binary image comparison. For binary images, intensity information is poor and shape extraction is often difficult. Therefore binary images h...
Etienne Baudrier, Frédéric Nicolier,...
IJDAR
2010
164views more  IJDAR 2010»
14 years 7 months ago
Distance-based classification of handwritten symbols
We study online classification of isolated handwritten symbols using distance measures on spaces of curves. We compare three distance-based measures on a vector space representatio...
Oleg Golubitsky, Stephen M. Watt
PVLDB
2008
107views more  PVLDB 2008»
14 years 8 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
TSMC
2010
14 years 4 months ago
A Unified Tensor Level Set for Image Segmentation
Abstract--This paper presents a new region-based unified tensor level set model for image segmentation. This model introduces a three-order tensor to comprehensively depict feature...
Bin Wang, Xinbo Gao, Dacheng Tao, Xuelong Li