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» The Dark Side of Object Learning: Learning Objects
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108
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COLT
2007
Springer
15 years 9 months ago
Occam's Hammer
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
Gilles Blanchard, François Fleuret
140
Voted
ICCV
2009
IEEE
16 years 8 months ago
Active Skeleton for Non-rigid Object Detection
We present a shape-based algorithm for detecting and recognizing non-rigid objects from natural images. The existing literature in this domain often cannot model the objects ver...
Xiang Bai, Xinggang Wang, Longin Jan Latecki, Weny...
136
Voted
CVPR
2006
IEEE
16 years 5 months ago
Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
We investigate the problem of learning the structure of an articulated object, i.e. its kinematic chain, from feature trajectories under affine projections. We demonstrate this po...
Jingyu Yan, Marc Pollefeys
171
Voted
ECCV
2004
Springer
16 years 5 months ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
126
Voted
ITICSE
2010
ACM
15 years 7 months ago
PhidgetLab: crossing the border from virtual to real-world objects
Teaching pupils the ideas behind objects in programming languages can be difficult since these concepts are mostly and not comprehensible at first sight. Etoys as a visual progra...
Michael Haupt, Michael Perscheid, Robert Hirschfel...