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» Gaussian mixture modeling for source localization
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99
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NIPS
2004
14 years 11 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
103
Voted
TIP
2008
153views more  TIP 2008»
14 years 10 months ago
Hierarchical Color Correction for Camera Cell Phone Images
In this paper, we propose a hierarchical color correction algorithm for enhancing the color of digital images obtained from low quality digital image capture devices such as cell ...
Hasib Siddiqui, Charles A. Bouman
91
Voted
CVPR
2005
IEEE
16 years 8 days ago
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
We address the problem of regional color transfer between two natural images by probabilistic segmentation. We use a new Expectation-Maximization (EM) scheme to impose both spatia...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
80
Voted
ICIP
2004
IEEE
15 years 12 months ago
Statistical transformations of frontal models for non-frontal face verification
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...
Conrad Sanderson, Samy Bengio
59
Voted
ICIP
2007
IEEE
15 years 4 months ago
Background Modeling Based on Subpixel Edges
We propose an approach to model the background of images in a video sequence based on subpixel edge map. This work is motivated by the observation that intensity based background ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy