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ICPR
2008
IEEE
14 years 2 months ago
Clustering-based locally linear embedding
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
Kanghua Hui, Chunheng Wang
ICPR
2008
IEEE
14 years 2 months ago
Boosting performance for 2D Linear Discriminant Analysis via regression
Two Dimensional Linear Discriminant Analysis (2DLDA) has received much interest in recent years. However, 2DLDA could make pairwise distances between any two classes become signiï...
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
IPPS
2007
IEEE
14 years 2 months ago
Using Linearization for Global Consistency in SSR
Novel routing algorithms such as scalable source routing (SSR) and virtual ring routing (VRR) need to set up and maintain a virtual ring structure among all the nodes in the netwo...
Kendy Kutzner, Thomas Fuhrmann
SIBGRAPI
2005
IEEE
14 years 1 months ago
Linear Complexity Stereo Matching Based on Region Indexing
This paper presents a linear complexity method for real-time stereo matching, in which the processing time is only dependent on the image resolution. Regions along each epipolar l...
Marco Antonio Floriano de Oliveira, Raul Sidnei Wa...
WACV
2002
IEEE
14 years 23 days ago
An Experimental Evaluation of Linear and Kernel-Based Methods for Face Recognition
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
Himaanshu Gupta, Amit K. Agrawal, Tarun Pruthi, Ch...