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SMI
2003
IEEE
131views Image Analysis» more  SMI 2003»
15 years 6 months ago
Watermarking 2D Vector Maps in the Mesh-Spectral Domain
This paper proposes a digital watermarking algorithm for 2D vector digital maps. The watermark is a robust, informed-detection watermark to be used to prevent such abuses as an in...
Ryutarou Ohbuchi, Hiroo Ueda, Shuh Endoh
ADCM
2007
168views more  ADCM 2007»
15 years 1 months ago
A generalization of Gram-Schmidt orthogonalization generating all Parseval frames
Given an arbitrary finite sequence of vectors in a finite–dimensional Hilbert space, we describe an algorithm, which computes a Parseval frame for the subspace generated by the...
Peter G. Casazza, Gitta Kutyniok
NIPS
2000
15 years 2 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio
WEA
2005
Springer
107views Algorithms» more  WEA 2005»
15 years 7 months ago
Local Clustering of Large Graphs by Approximate Fiedler Vectors
Vectors [Extended Abstract] Pekka Orponen and Satu Elisa Schaeffer Laboratory for Theoretical Computer Science, P.O. Box 5400 FI-02015 TKK Helsinki University of Technology, Finlan...
Pekka Orponen, Satu Elisa Schaeffer
IJCNN
2000
IEEE
15 years 5 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince