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» Optimizing Learning in Image Retrieval
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FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
14 years 4 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
ICIP
2006
IEEE
14 years 12 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...
MMM
2007
Springer
143views Multimedia» more  MMM 2007»
14 years 4 months ago
Semi-supervised Cast Indexing for Feature-Length Films
Abstract. Cast indexing is a very important application for contentbased video browsing and retrieval, since the characters in feature-length films and TV series are always the ma...
Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimi...
MM
2010
ACM
238views Multimedia» more  MM 2010»
13 years 10 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan
PR
2007
151views more  PR 2007»
13 years 9 months ago
Learning to display high dynamic range images
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
Guoping Qiu, Jiang Duan, Graham D. Finlayson