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» Nonlinear principal component analysis of noisy data
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MM
2006
ACM
203views Multimedia» more  MM 2006»
15 years 3 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
SGP
2003
14 years 11 months ago
Statistical Point Geometry
We propose a scheme for modeling point sample geometry with statistical analysis. In our scheme we depart from the current schemes that deterministically represent the attributes ...
Aravind Kalaiah, Amitabh Varshney
HICSS
1998
IEEE
176views Biometrics» more  HICSS 1998»
15 years 1 months ago
Intelligent System for Reading Handwriting on Forms
The National Institute of Standards and Technology (NIST) has developed a form-based handprint recognition system for reading information written on forms. This public domain soft...
Michael D. Garris
83
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COMPSAC
2010
IEEE
14 years 7 months ago
Using Load Tests to Automatically Compare the Subsystems of a Large Enterprise System
Enterprise systems are load tested for every added feature, software updates and periodic maintenance to ensure that the performance demands on system quality, availability and res...
Haroon Malik, Bram Adams, Ahmed E. Hassan, Parmind...
NIPS
2004
14 years 11 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li