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NECO
1998
83views more  NECO 1998»
13 years 8 months ago
Properties of Support Vector Machines
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
Massimiliano Pontil, Alessandro Verri
PR
2008
123views more  PR 2008»
13 years 8 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
ICPR
2010
IEEE
13 years 9 months ago
Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images
Hyperspectral imaging is a new technique in remote sensing that generates hundreds of images, corresponding to different wavelength channels, for the same area on the surface of t...
Antonio Plaza, Javier Plaza
ICQNM
2007
IEEE
131views Chemistry» more  ICQNM 2007»
14 years 3 months ago
Comparison of two bounds of the quantum correlation set
— From a geometric viewpoint, quantum nonlocality between two parties is represented as the difference of two convex bodies, namely the sets of possible results of classical and ...
David Avis, Tsuyoshi Ito
ICONIP
2007
13 years 10 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor