1516 search results - page 26 / 304 » On the Learnability of Vector Spaces |
ECAI
2004
Springer
14 years 1 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
VLDB
1987
ACM
13 years 12 months ago
1987
ACM
Thie paper presents a representation echeme for polyhedral objects in arbitrary dimensions. Each object ie represented as the algebraic sum of convex polyhedra (cells). Each cell ...
MVA
1990
13 years 9 months ago
1990
In this paper we present a novel classifier which integrates a multilayer perceptron and a error-correcting decoder. There are two stages in the classifier,in the first stage, map...
ADCM
2007
13 years 8 months ago
2007
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...
IPPS
2003
IEEE
14 years 1 months ago
2003
IEEE
In this paper we use a mathematical approach to automatically generate high performance short vector code for the discrete Fourier transform (DFT). We represent the well-known Coo...