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» Training Linear Discriminant Analysis in Linear Time
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ICML
2003
IEEE
16 years 19 days ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
CIVR
2005
Springer
130views Image Analysis» more  CIVR 2005»
15 years 5 months ago
Improvement on PCA and 2DPCA Algorithms for Face Recognition
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Vo Dinh Minh Nhat, Sungyoung Lee
ICCV
2011
IEEE
13 years 12 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
ISQED
2005
IEEE
92views Hardware» more  ISQED 2005»
15 years 5 months ago
An Interconnect Insensitive Linear Time-Varying Driver Model for Static Timing Analysis
This paper presents a two-step, RC-interconnect insensitive linear time-varying (LTV) driver model for gate-level timing calculation. We show how to characterize a driver with the...
Chung-Kuan Tsai, Malgorzata Marek-Sadowska
PR
2002
122views more  PR 2002»
14 years 11 months ago
High-order Fisher's discriminant analysis
This paper introduces a novel nonlinear extension of Fisher's classical linear discriminant analysis (FDA) known as high-order Fisher's discriminant analysis (HOFDA). Th...
Alejandro Sierra