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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 4 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
IROS
2009
IEEE
193views Robotics» more  IROS 2009»
15 years 6 months ago
Active segmentation for robotics
— The semantic robots of the immediate future are robots that will be able to find and recognize objects in any environment. They need the capability of segmenting objects in th...
Ajay K. Mishra, Yiannis Aloimonos, Cornelia Ferm&u...
SCALESPACE
1999
Springer
15 years 4 months ago
Fast Geodesic Active Contours
—We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in imag...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...
SCALESPACE
1999
Springer
15 years 4 months ago
An Active Contour Model without Edges
In this paper, we propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah functional for segmentation and l...
Tony F. Chan, Luminita A. Vese
ICML
2010
IEEE
15 years 26 days ago
Active Learning for Multi-Task Adaptive Filtering
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...
Abhay Harpale, Yiming Yang