Many recent works have attempted to improve object recognition by exploiting temporal dynamics, an intrinsic property of video sequences. In this paper, a new spatiotemporal hiera...
This paper demonstrates a system for the automatic extraction of novelty in images captured from a small video camera attached to a subject’s chest, replicating his visual persp...
Omid Aghazadeh, Josephine Sullivan, Stefan Carlsso...
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of str...
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...
Bostjan Brumen, Izidor Golob, Hannu Jaakkola, Tatj...
This paper describes and evaluates MOP, an IE system for automatic extraction of metalinguistic information from technical and scientific documents. We claim that such a system ca...
Subcategorization is a kind of knowledge which can be considered as crucial in several NLP tasks, such as Information Extraction or parsing, but the collection of very large resou...
In this paper we present a rule-based system for automatic extraction of definitions from Portuguese texts. As input, this system takes text that is previously annotated with morph...
Automatically extracting object models from images is a complex task. We describe research in extracting 3-D models of buildings from aerial images. This work has resulted in seve...
Automatic extraction of human opinions from Web documents has been receiving increasing interest. To automate the process of opinion extraction, having a collection of evaluative ...
We describe an architecture for organizing and summarizing consumer reviews about products that have been posted on specialized web sites. The core technology is based on the autom...