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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 3 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
IJSI
2008
91views more  IJSI 2008»
13 years 10 months ago
Random Event Structures
Abstract In a line of recent development, probabilistic constructions of universal, homogeneous objects have been provided in various categories of ordered structures, such as caus...
Manfred Droste, Guo-Qiang Zhang
CVPR
2008
IEEE
15 years 1 days ago
3D occlusion recovery using few cameras
We present a practical framework for detecting and modeling 3D static occlusions for wide-baseline, multi-camera scenarios where the number of cameras is small. The framework cons...
Mark A. Keck, James W. Davis
ICCV
1999
IEEE
14 years 12 months ago
Recognition of Multi-Agent Interaction in Video Surveillance
This paper describes a probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents. A complete sys...
Yuri A. Ivanov, Aaron F. Bobick
ICIP
2007
IEEE
14 years 11 months ago
Non-Stationarity Detection in Natural Images
We present a novel approach for non-stationarity detection in natural images by exploiting the prior knowledge of the independent component structure of scene statistics. Our prop...
Raghu G. Raj, Alan C. Bovik, Wilson S. Geisler