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CVPR
2007
IEEE
15 years 11 months ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
NN
2002
Springer
14 years 9 months ago
Self-organizing maps with recursive neighborhood adaptation
Self-organizing maps (SOMs) are widely used in several fields of application, from neurobiology to multivariate data analysis. In that context, this paper presents variants of the...
John Aldo Lee, Michel Verleysen
ICPR
2004
IEEE
15 years 10 months ago
Face Recognition Based on Discriminative Manifold Learning
In this paper, a discriminative manifold learning method for face recognition is proposed which achieved the discriminative embedding the high dimensional face data into a low dim...
Kap Luk Chan, Lei Wang, Yiming Wu
CGI
1999
IEEE
15 years 1 months ago
A Shape-Preserving Data Embedding Algorithm for NURBS Curves and Surfaces
Existing data embedding algorithms for polygonal meshes and their attributes can't be applied to the majority of (geometric) computer aided design (CAD) applications, for two...
Ryutarou Ohbuchi, Hiroshi Masuda, Masaki Aono
ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
15 years 1 months ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...