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» Linear Discriminant Analysis for Signatures
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ICPR
2006
IEEE
14 years 11 months ago
Automatic Adjustment of Discriminant Adaptive Nearest Neighbor
K-Nearest Neighbors relies on the definition of a global metric. In contrast, Discriminant Adaptive Nearest Neighbor (DANN) computes a different metric at each query point based o...
Cédric Archambeau, Michel Verleysen, Nicola...
TKDE
2008
152views more  TKDE 2008»
13 years 9 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
PR
2002
122views more  PR 2002»
13 years 9 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
ICIP
2002
IEEE
14 years 11 months ago
Detecting hidden messages using higher-order statistical models
Techniques for informationhidinghave become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages has become c...
Hany Farid
CORR
2006
Springer
83views Education» more  CORR 2006»
13 years 9 months ago
Performance Analysis of CDMA Signature Optimization with Finite Rate Feedback
We analyze the performance of CDMA signature optimization with finite rate feedback. For a particular user, the receiver selects a signature vector from a signature codebook to avo...
Wei Dai, Youjian Liu, Brian Rider