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» Image Based Regression Using Boosting Method
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BMVC
2010
14 years 7 months ago
Accounting for the Relative Importance of Objects in Image Retrieval
We introduce a method for image retrieval that leverages the implicit information about object importance conveyed by the list of keyword tags a person supplies for an image. We p...
Sung Ju Hwang, Kristen Grauman
MMM
2003
Springer
146views Multimedia» more  MMM 2003»
15 years 3 months ago
An Improved Method for Image Retrieval Using Speech Annotation
In this paper, we present a system for the image indexing and retrieval using speech annotations based on a pre-defined
Jiayi Chen, Tele Tan
ICCV
2005
IEEE
15 years 3 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
AMFG
2005
IEEE
327views Biometrics» more  AMFG 2005»
15 years 3 months ago
AdaBoost Gabor Fisher Classifier for Face Recognition
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
Shiguang Shan, Peng Yang, Xilin Chen, Wen Gao
CORR
2010
Springer
159views Education» more  CORR 2010»
14 years 9 months ago
Outlier Detection Using Nonconvex Penalized Regression
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
Yiyuan She, Art B. Owen