The classification rules induced by machine learning systems are judged by two criteria: their classification accuracy on an independent test set (henceforth "accuracy"), and their complexity. The relationship between these two criteria is, of course, of keen interest

While different optical flow techniques continue to appear, there has been a lack of quantitative evaluation of existing methods. For a common set of real and synthetic image sequences, we report the results of a number of regularly cited optical flow techniques, including instances of differential

qual if and only if a = x and b = y. In purely set-theoretic terms, one could define the ordered pair (x; y) to be the set fx; fx; ygg, which has the required properties. That is, it encodes ordering because fx; fx; ygg 6= fy; fx; ygg when x and y are distinct, and it also handles the case where

Fully probabilistic systems Non-deterministic systems 1

is emerging. The common set of institutions is exemplified by the new World Trade Organization (WTO), which was established by agreement of

support for these stages as well as for a finite and common set of change processes used to progress through the stages. Research to date supports a transtheoretical model of change that systematically integrates the stages with processes of change from diverse theories of psychotherapy.

... describe music. They are commonly used to structure the increasing amounts of music available in digital form on the Web and are important for music information retrieval. Genre categorization for audio has traditionally been performed manually. A particular musical genre is characterized

-frame stereo methods. Our taxonomy is designed to assess the different components and design decisions made in individual stereo algorithms. Using this taxonomy, we compare existing stereo methods and present experiments evaluating the performance of many different variants. In order to establish a common

Over the last 20 years, several different techniques have been proposed for computer recognition of human faces. The purpose of this paper is to compare two simple but general strategies on a common database (frontal images of faces of 47 people: 26 males and 21 females, four images per person

We review accuracy estimation methods and compare the two most common methods: cross-validation and bootstrap. Recent experimental results on artificial data and theoretical results in restricted settings have shown that for selecting a good classifier from a set of classifiers (model selection