This paper describes a random jitter measurement technique using simple algorithms and comparator sampling. The approach facilitates using Automated Test Equipment (ATE) to valida...
We present a post-processing technique that selectively reduces the salience of distracting regions in an image. Computational models of attention predict that texture variation i...
The paper presents a contribution to image indexing consisting in a weighting model for visible objects – or image objects – in home photographs. To improve its effectiveness ...
Modeling user affect is becoming increasingly important for intelligent interfaces and agents that aim to establish believable interactions with their users. However, evaluating th...
In this paper, a new method of composing a multiclass classifier using pairwise classifiers is proposed. A “Resemblance Model” is exploited to calculate a posteriori probabili...