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DAGM
2008
Springer
13 years 9 months ago
Efficient Tracking as Linear Program on Weak Binary Classifiers
This paper demonstrates how a simple, yet effective, set of features enables to integrate ensemble classifiers in optical flow based tracking. In particular, gray value differences...
Michael Grabner, Christopher Zach, Horst Bischof
CORR
2011
Springer
222views Education» more  CORR 2011»
12 years 11 months ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
ICSOC
2009
Springer
14 years 2 months ago
Another Approach to Service Instance Migration
Services change over time, be it for internal improvements, be it for external requirements such as new legal regulations. For long running services, it may even be necessary to ch...
Nannette Liske, Niels Lohmann, Christian Stahl, Ka...
PAKDD
2004
ACM
113views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Logistic Regression and Boosting for Labeled Bags of Instances
Abstract. In this paper we upgrade linear logistic regression and boosting to multi-instance data, where each example consists of a labeled bag of instances. This is done by connec...
Xin Xu, Eibe Frank
JSAT
2006
69views more  JSAT 2006»
13 years 7 months ago
The SAT 2005 Solver Competition on Random Instances
An analysis of the SAT 2005 sub-competition on random instances is given. This year this (sub-)competition set-up was geared to establish a basic setting, focusing on the instance...
Oliver Kullmann