This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
We present a quantitative model of word order and movement constraints that enables a simple and uniform treatment of a seemingly heterogeneous collection of linear order phenomena...
Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
We present a document analysis system able to assign logical labels and extract the reading order in a broad set of documents. All information sources, from geometric features and ...
Collaborative visualization is an active area of research in computer science. Many di erent techniques and implementations have been proposed. However, most of today's syste...