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DATE
2007
IEEE
165views Hardware» more  DATE 2007»
16 years 11 days ago
Boosting the role of inductive invariants in model checking
This paper focuses on inductive invariants in unbounded model checking to improve efficiency and scalability. First of all, it introduces optimized techniques to speedup the comp...
Gianpiero Cabodi, Sergio Nocco, Stefano Quer
PR
2007
192views more  PR 2007»
15 years 5 months ago
Face detection with boosted Gaussian features
Detecting faces in images is a key step in numerous computer vision applications, such as face recognition or facial expression analysis. Automatic face detection is a difficult ...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran
PVLDB
2010
104views more  PVLDB 2010»
15 years 4 months ago
Boosting the Accuracy of Differentially Private Histograms Through Consistency
We show that it is possible to significantly improve the accuracy of a general class of histogram queries while satisfying differential privacy. Our approach carefully chooses a...
Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Su...
ECCV
2004
Springer
16 years 8 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
BMCBI
2010
126views more  BMCBI 2010»
15 years 6 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi