The Content Based Image Retrieval (CBIR) has been an active research area. Given a collection of images, it is to retrieve the images based on a query image, which is specified by...
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
We propose a new supervised texture segmentation and classification technique based on combining features extracted from the discrete wavelet frames of an image (specifically, the...
This paper presents empirical results that contradict the prevailing opinion that entity extraction is a boring solved problem. In particular, we consider data sets that resemble ...
: Along with the emergence of the Web 2.0, E-learning more often takes place in open environments such as wikis, blogs, and resource sharing platforms. Nowadays, many companies dep...
Rafael Schirru, Stephan Baumann, Martin Memmel, An...