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» Learning Object Shape: From Drawings to Images
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ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
MM
2010
ACM
219views Multimedia» more  MM 2010»
14 years 12 months ago
A framework for photo-quality assessment and enhancement based on visual aesthetics
We present an interactive application that enables users to improve the visual aesthetics of their digital photographs using spatial recomposition. Unlike earlier work that focuse...
Subhabrata Bhattacharya, Rahul Sukthankar, Mubarak...
CVPR
2008
IEEE
16 years 1 months ago
Discriminative learning of visual words for 3D human pose estimation
This paper addresses the problem of recovering 3D human pose from a single monocular image, using a discriminative bag-of-words approach. In previous work, the visual words are le...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
SIGGRAPH
1996
ACM
15 years 3 months ago
Fitting Smooth Surfaces to Dense Polygon Meshes
Recent progress in acquiring shape from range data permits the acquisition of seamless million-polygon meshes from physical models. In this paper, we present an algorithm and syst...
Venkat Krishnamurthy, Marc Levoy
CVPR
2007
IEEE
16 years 1 months ago
Joint Optimization of Cascaded Classifiers for Computer Aided Detection
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Murat Dundar, Jinbo Bi