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ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
14 years 9 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...
EMMCVPR
2009
Springer
14 years 9 months ago
Intrinsic Second-Order Geometric Optimization for Robust Point Set Registration without Correspondence
Determining Euclidean transformations for the robust registration of noisy unstructured point sets is a key problem of model-based computer vision and numerous industrial applicati...
Dirk Breitenreicher, Christoph Schnörr
PRL
2010
310views more  PRL 2010»
14 years 10 months ago
A Lagrangian Half-Quadratic approach to robust estimation and its applications to road scene analysis
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
Jean-Philippe Tarel, Pierre Charbonnier
CVPR
2011
IEEE
14 years 7 months ago
Multiobject Tracking as Maximum Weight Independent Set
This paper addresses the problem of simultaneous tracking of multiple targets in a video. We first apply object detectors to every video frame. Pairs of detection responses from ...
William Brendel, Mohamed Amer, Sinisa Todorovic
CORR
2011
Springer
172views Education» more  CORR 2011»
14 years 6 months ago
Improving Strategies via SMT Solving
We consider the problem of computing numerical invariants of programs by abstract interpretation. Our method eschews two traditional sources of imprecision: (i) the use of widenin...
Thomas Martin Gawlitza, David Monniaux