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» Application of Level Set Methods in Computer Vision
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 8 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
ICDCS
1998
IEEE
15 years 12 months ago
Structuring Remote Object Systems for Mobile Hosts with Intermittent Connectivity
In distributed object systems, remote method inattempts to abstract communication between di erent machines to the level of object method invocation. Link failure in such systems ...
Girish Welling, Maximilian Ott
SCALESPACE
2007
Springer
16 years 1 months ago
Histogram Based Segmentation Using Wasserstein Distances
In this paper, we propose a new nonparametric region-based active contour model for clutter image segmentation. To quantify the similarity between two clutter regions, we propose t...
Tony F. Chan, Selim Esedoglu, Kangyu Ni
SAC
2008
ACM
15 years 7 months ago
Model-driven development of component-based adaptive distributed applications
This paper introduces an approach to develop componentbased adaptive distributed applications. Our approach separates the communication and the functional aspects of a distributed...
An Phung-Khac, Antoine Beugnard, Jean-Marie Gillio...
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
16 years 9 days ago
The nullspace method - a unifying paradigm to fault detection
— The nullspace method is a powerful framework to solve the synthesis problem of fault detection filters in the most general setting. It is also well suited to address the least...
András Varga