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» Incremental Probabilistic Inference
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ICASSP
2011
IEEE
13 years 9 days 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 ...
ICCV
2007
IEEE
14 years 10 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
ECCV
2008
Springer
14 years 10 months ago
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang...
GIS
2005
ACM
14 years 9 months ago
In-network surface simplification for sensor fields
Recent research literature on sensor network databases has focused on finding ways to perform in-network aggregation of sensor readings to reduce the message cost. However, with t...
Brian Harrington, Yan Huang
SIGMOD
2004
ACM
189views Database» more  SIGMOD 2004»
14 years 8 months ago
A Holistic Paradigm for Large Scale Schema Matching
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang