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» Recognition Model with Extension Fields
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CVPR
2003
IEEE
16 years 1 months ago
Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments
The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveilla...
Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, ...
MICCAI
2005
Springer
16 years 23 hour ago
Simulating Vascular Systems in Arbitrary Anatomies
Better physiological understanding of principles regulating vascular formation and growth is mandatory to their efficient modeling for the purpose of physiologically oriented medi...
Dominik Szczerba, Gábor Székely
HT
1997
ACM
15 years 3 months ago
As We Should Have Thought
The hypermedia field has long realized the need for firstructural abstractions. However, we have failed to generalize the concept of ubiquitous structure management to problem dom...
Peter J. Nürnberg, John J. Leggett, Erich R. ...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 29 days ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
LREC
2010
163views Education» more  LREC 2010»
15 years 18 days ago
LIPS: A Tool for Predicting the Lexical Isolation Point of a Word
We present LIPS (Lexical Isolation Point Software), a tool for accurate lexical isolation point (IP) prediction in recordings of speech. The IP is the point in time in which a wor...
Andrew Thwaites, Jeroen Geertzen, William D. Marsl...