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CVPR
2008
IEEE
16 years 6 months ago
Semi-Supervised Discriminant Analysis using robust path-based similarity
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
Yu Zhang, Dit-Yan Yeung
CVPR
2008
IEEE
16 years 6 months ago
Least squares congealing for unsupervised alignment of images
In this paper, we present an approach we refer to as "least squares congealing" which provides a solution to the problem of aligning an ensemble of images in an unsuperv...
Mark Cox, Sridha Sridharan, Simon Lucey, Jeffrey F...
CVPR
2008
IEEE
16 years 6 months ago
A joint appearance-spatial distance for kernel-based image categorization
The goal of image categorization is to classify a collection of unlabeled images into a set of predefined classes to support semantic-level image retrieval. The distance measures ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...
ICCV
2007
IEEE
16 years 6 months ago
Depth Information by Stage Classification
Recently, methods for estimating 3D scene geometry or absolute scene depth information from 2D image content have been proposed. However, general applicability of these methods in...
André Redert, Arnold W. M. Smeulders, Jan-M...
ECCV
2008
Springer
16 years 6 months ago
Semi-supervised On-Line Boosting for Robust Tracking
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
Helmut Grabner, Christian Leistner, Horst Bischof