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CVPR
2008
IEEE
14 years 10 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
DSN
2005
IEEE
13 years 10 months ago
Combining Response Surface Methodology with Numerical Models for Optimization of Class-Based Queueing Systems
In general, decision support is one of the main purposes of model-based analysis of systems. Response surface methodology (RSM) is an optimization technique that has been applied ...
Peter Kemper, Dennis Müller, Axel Thümml...
TCSV
2011
13 years 3 months ago
Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance
—We present in this paper an integrated solution to rapidly recognizing dynamic objects in surveillance videos by exploring various contextual information. This solution consists...
Xiaobai Liu, Liang Lin, Shuicheng Yan, Hai Jin, We...
CLOR
2006
14 years 9 days ago
Object Recognition by Combining Appearance and Geometry
We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
WSC
2007
13 years 11 months ago
A hybrid epidemic model: combining the advantages of agent-based and equation-based approaches
Agent-based models (ABMs) are powerful in describing structured epidemiological processes involving human behavior and local interaction. The joint behavior of the agents can be v...
Georgiy V. Bobashev, D. Michael Goedecke, Feng Yu,...