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» Pruning Training Sets for Learning of Object Categories
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ECCV
2010
Springer
14 years 2 months ago
Cascaded Models for Articulated Pose Estimation
Abstract. We address the problem of articulated human pose estimation by learning a coarse-to-fine cascade of pictorial structure models. While the fine-level state-space of pose...
ICIP
2001
IEEE
14 years 10 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
TOG
2008
98views more  TOG 2008»
13 years 9 months ago
Upright orientation of man-made objects
Humans usually associate an upright orientation with objects, placing them in a way that they are most commonly seen in our surroundings. While it is an open challenge to recover ...
Hongbo Fu, Daniel Cohen-Or, Gideon Dror, Alla Shef...
ALT
2000
Springer
14 years 6 months ago
On Approximate Learning by Multi-layered Feedforward Circuits
Abstract. We consider the problem of efficient approximate learning by multilayered feedforward circuits subject to two objective functions. First, we consider the objective to ma...
Bhaskar DasGupta, Barbara Hammer
IJCNN
2007
IEEE
14 years 3 months ago
Default ARTMAP 2
—Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a read...
Gregory P. Amis, Gail A. Carpenter