## Search

Now showing items 1-9 of 9

#### People Recognition in Image Sequences by Supervised Learning

(2000-06-01)

We describe a system that learns from examples to recognize people in images taken indoors. Images of people are represented by color-based and shape-based features. Recognition is carried out through combinations of Support ...

#### On the V(subscript gamma) Dimension for Regression in Reproducing Kernel Hilbert Spaces

(1999-05-01)

This paper presents a computation of the $V_gamma$ dimension for regression in bounded subspaces of Reproducing Kernel Hilbert Spaces (RKHS) for the Support Vector Machine (SVM) regression $epsilon$-insensitive loss function, ...

#### Properties of Support Vector Machines

(1997-08-01)

Support Vector Machines (SVMs) perform pattern recognition between two point classes by finding a decision surface determined by certain points of the training set, termed Support Vectors (SV). This surface, which in some ...

#### Face Detection in Still Gray Images

(2000-05-01)

We present a trainable system for detecting frontal and near-frontal views of faces in still gray images using Support Vector Machines (SVMs). We first consider the problem of detecting the whole face pattern by a single ...

#### A Note on Support Vector Machines Degeneracy

(1999-08-11)

When training Support Vector Machines (SVMs) over non-separable data sets, one sets the threshold $b$ using any dual cost coefficient that is strictly between the bounds of $0$ and $C$. We show that there exist SVM ...

#### A Note on the Generalization Performance of Kernel Classifiers with Margin

(2000-05-01)

We present distribution independent bounds on the generalization misclassification performance of a family of kernel classifiers with margin. Support Vector Machine classifiers (SVM) stem out of this class of machines. The ...

#### From Regression to Classification in Support Vector Machines

(1998-11-01)

We study the relation between support vector machines (SVMs) for regression (SVMR) and SVM for classification (SVMC). We show that for a given SVMC solution there exists a SVMR solution which is equivalent for a certain ...

#### On the Noise Model of Support Vector Machine Regression

(1998-10-01)

Support Vector Machines Regression (SVMR) is a regression technique which has been recently introduced by V. Vapnik and his collaborators (Vapnik, 1995; Vapnik, Golowich and Smola, 1996). In SVMR the goodness of fit ...

#### A Unified Framework for Regularization Networks and Support Vector Machines

(1999-03-01)

Regularization Networks and Support Vector Machines are techniques for solving certain problems of learning from examples -- in particular the regression problem of approximating a multivariate function from sparse ...