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 …

Content-based representation and retrieval of visual media: A state-of-the-art review Page 1
Multimedia Tools and Applications 3, 179-202 (1996) @ 1996 Kluwer Academic Publishers …

Understanding broadcast videos is a challenging task in computer vision, as it requires
generic reasoning capabilities to appreciate the content offered by the video editing. In this …

To endow models with greater understanding of physics and motion, it is useful to enable
them to perceive how solid surfaces move and deform in real scenes. This can be formalized …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

A close relationship exists between the advancement of face recognition algorithms and the
availability of face databases varying factors that affect facial appearance in a controlled …

Existing studies on time series are based on two categories of distance functions. The first
category consists of the Lp-norms. They are metric distance functions but cannot support …

Key frame extraction has been recognized as one of the important research issues in video
information retrieval. Although progress has been made in key frame extraction, the existing …

Many learning algorithms use a metric defined over the input space as a principal tool, and
their performance critically depends on the quality of this metric. We address the problem of …

We address the problem of learning distance metrics using side-information in the form of
groups of" similar" points. We propose to use the RCA algorithm, which is a simple and …