As robots have become more pervasive in our daily life, natural human-robot interaction
(HRI) has had a positive impact on the development of robotics. Thus, there has been …

The goal of supervised learning is to build a concise model of the distribution of class labels
in terms of predictor features. The resulting classifier is then used to assign class labels to …

A comprehensive introduction to Support Vector Machines and related kernel methods. In
the 1990s, a new type of learning algorithm was developed, based on results from statistical …

LIBSVM is a library for Support Vector Machines (SVMs). We have been actively develo**
this package since the year 2000. The goal is to help users to easily apply SVM to their …

Supervised classification is one of the tasks most frequently carried out by so-called
Intelligent Systems. Thus, a large number of techniques have been developed based on …

In this paper we describe the algorithmic implementation of multiclass kernel-based vector
machines. Our starting point is a generalized notion of the margin to multiclass problems …

In recent years, the problem of associating a sentence with an image has gained a lot of
attention. This work continues to push the envelope and makes further progress in the …

Since the introduction of support vector machines, we have witnessed the huge
development in theory, models, and applications of what is so-called kernel-based methods …

This is largely due to 1) a lack of communication and collaboration between the machine
learning research community and natural scientists, 2) a lack of communication about …

Very high dimensional learning systems become theoretically possible when training
examples are abundant. The computing cost then becomes the limiting factor. Any efficient …