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» Sampling Strategies for Bag-of-Features Image Classification
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ECCV
2006
Springer
14 years 6 months ago
Sampling Strategies for Bag-of-Features Image Classification
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...
Eric Nowak, Frédéric Jurie, Bill Tri...
CVPR
2008
IEEE
14 years 6 months ago
Two-Dimensional Active Learning for image classification
In this paper, we propose a two-dimensional active learning scheme and show its application in image classification. Traditional active learning methods select samples only along ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...
VIS
2009
IEEE
216views Visualization» more  VIS 2009»
14 years 5 months ago
Volume Ray Casting with Peak Finding and Differential Sampling
Direct volume rendering and isosurfacing are ubiquitous rendering techniques in scientific visualization, commonly employed in imaging 3D data from simulation and scan sources. Con...
Aaron Knoll, Younis Hijazi, Rolf Westerteiger, ...
ECCV
2004
Springer
14 years 6 months ago
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval
This paper is about the work on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retri...
Ruofei Zhang, Zhongfei (Mark) Zhang
CVPR
2010
IEEE
1373views Computer Vision» more  CVPR 2010»
14 years 29 days ago
Harmony Potentials for Joint Classification and Segmentation
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer...