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BMVC
2010
15 years 4 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
CIDM
2007
IEEE
16 years 28 days ago
Analysis of streaming GPS measurements of surface displacement through a web services environment
Abstract— We present a method for performing mode classification of real-time streams of GPS surface position data. Our approach has two parts: an algorithm for robust, unconstr...
Robert Granat, Galip Aydin, Marlon E. Pierce, Zhig...
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
16 years 6 months ago
Optimizing complex extraction programs over evolving text data
Most information extraction (IE) approaches have considered only static text corpora, over which we apply IE only once. Many real-world text corpora however are dynamic. They evol...
Fei Chen 0002, Byron J. Gao, AnHai Doan, Jun Yang ...
ICDE
2008
IEEE
103views Database» more  ICDE 2008»
16 years 8 months ago
Efficient Information Extraction over Evolving Text Data
Abstract-- Most current information extraction (IE) approaches have considered only static text corpora, over which we typically have to apply IE only once. Many real-world text co...
Fei Chen 0002, AnHai Doan, Jun Yang 0001, Raghu Ra...
ICASSP
2011
IEEE
14 years 10 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...