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247
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ICCV
2011
IEEE
14 years 3 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
CVPR
2000
IEEE
16 years 5 months ago
Fixed Topology Skeletons
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs to model connectivity of the skeleton points. The graph topology remains unchang...
Polina Golland, W. Eric L. Grimson
SCALESPACE
2009
Springer
15 years 8 months ago
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentati...
Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F...
132
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TSMC
2008
98views more  TSMC 2008»
15 years 3 months ago
A New Active Visual System for Humanoid Robots
In this paper, a new active visual system is developed, which is based on bionic vision and is insensitive to the property of the cameras. The system consists of a mechanical platf...
De Xu, Youfu Li, Min Tan, Yang Shen
ECCV
2010
Springer
15 years 9 months ago
Balancing Deformability and Discriminability for Shape Matching
Abstract. We propose a novel framework, aspect space, to balance deformability and discriminability, which are often two competing factors in shape and image representations. In th...