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» State-of-the-art in heterogeneous computing
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TNN
2008
141views more  TNN 2008»
15 years 6 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
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...
COLING
2002
15 years 6 months ago
A Quantitative Model of Word Order and Movement in English, Dutch and German Complement Constructions
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...
Karin Harbusch, Gerard Kempen
COLING
2002
15 years 6 months ago
Extracting Important Sentences with Support Vector Machines
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 ...
Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda, Yuji ...
IJDAR
2002
108views more  IJDAR 2002»
15 years 6 months ago
Document understanding for a broad class of documents
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 ...
Marco Aiello, Christof Monz, Leon Todoran
CONCURRENCY
1998
107views more  CONCURRENCY 1998»
15 years 6 months ago
CEV: collaborative environment for visualization using Java RMI
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...
Rajeev R. Raje, Michael Boyles, Shiaofen Fang