We demonstrate a method for identifying images containing categories of animals. The images we classify depict animals in a wide range of aspects, configurations and appearances. ...
The small screen size of handheld mobile devices poses an inherent problem in visualizing data: very often it is too difficult and unpleasant to navigate through the plethora of p...
Dongsong Zhang, George Karabatis, Zhiyuan Chen, Bo...
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
This work proposes a new methodology for intelligent classification and retrieval of software components based on user–defined requirements. The classification scheme utilizes a...
Andreas S. Andreou, Dimitrios Vogiatzis, George A....