It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-co...
The emergence of scale free and small world properties in real world complex networks has stimulated lots of activity in the field of network analysis. An example of such a netwo...
A lot of future-related information is available in news articles or Web pages. This information can however differ to large extent and may fluctuate over time. It is therefore di...
Adam Jatowt, Kensuke Kanazawa, Satoshi Oyama, Kats...
The development of a tool for reconstructing UML sequence diagrams from executing Java programs is a challenging task. We implemented such a tool designed to analyze any kind of J...
Abstract. Different strategies to learn user semantic queries from dissimilarity representations of video audio-visual content are presented. When dealing with large corpora of vi...