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» Minimization of an M-convex Function
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ICPR
2008
IEEE
14 years 10 months ago
Collaborative learning by boosting in distributed environments
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
Shijun Wang, Changshui Zhang
ACIVS
2007
Springer
14 years 3 months ago
Joint Tracking and Segmentation of Objects Using Graph Cuts
This paper presents a new method to both track and segment objects in videos. It includes predictions and observations inside an energy function that is minimized with graph cuts. ...
Aurélie Bugeau, Patrick Pérez
ICPR
2002
IEEE
14 years 2 months ago
Image Segmentation Using Curve Evolution and Region Stability
A novel scheme for image segmentation is presented. An image segmentation criterion is proposed that gathers similar pixels together to form regions and creates boundaries between...
Baris Sumengen, B. S. Manjunath, Charles S. Kenney
ORL
2011
13 years 3 months ago
Convex approximations to sparse PCA via Lagrangian duality
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
Ronny Luss, Marc Teboulle
ICASSP
2011
IEEE
13 years 1 months ago
From direction of arrival estimates to localization of planar reflectors in a two dimensional geometry
In this paper we propose a novel technique to localize planar obstacles through the measurement of the Direction of Arrival by a microphone array. The measurement of the Direction...
Antonio Canclini, Paolo Annibale, Fabio Antonacci,...