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» Efficient Image Retrieval by Examples
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CVPR
2008
IEEE
14 years 10 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
ICCV
2009
IEEE
15 years 28 days ago
Higher-Order Gradient Descent by Fusion-Move Graph Cut
Markov Random Field is now ubiquitous in many formulations of various vision problems. Recently, optimization of higher-order potentials became practical using higherorder graph...
Hiroshi Ishikawa
MICCAI
2003
Springer
14 years 8 months ago
Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths
Abstract. Diffusion Tensor Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. Th...
Pierre Fillard, John H. Gilmore, Joseph Piven, Wei...
ICMCS
2006
IEEE
135views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Inquiring of the Sights from the Web via Camera Mobiles
In this paper, we presented an image search service for mobile users. It can be used to acquire related information by taking and sending pictures to the server, for example, gett...
Yinghua Zhou, Xin Fan, Xing Xie, Yuchang Gong, Wei...
CVPR
2007
IEEE
14 years 10 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman