<--- Back to Details
First PageDocument Content
Singular value decomposition / Abstract algebra / Matrix theory / Multivariate statistics / Eigenvalues and eigenvectors / Principal component analysis / Vector space / Object recognition / Template matching / Algebra / Mathematics / Linear algebra
Date: 2002-09-23 11:09:33
Singular value decomposition
Abstract algebra
Matrix theory
Multivariate statistics
Eigenvalues and eigenvectors
Principal component analysis
Vector space
Object recognition
Template matching
Algebra
Mathematics
Linear algebra

View-Based Recognition Using an Eigenspace Approximation to the Hausdor Measure Daniel P. Huttenlocher, Ryan H. Lilien, Clark F. Olson Department of Computer Science Cornell University Ithaca, NY 14853

Add to Reading List

Source URL: www.cs.cornell.edu

Download Document from Source Website

File Size: 445,32 KB

Share Document on Facebook

Similar Documents

15 Mathematical Tools for Multivariate Character Analysis This chapter introduces a variety of tools from matrix algebra and multivariate statistics useful in the analysis of selection on multiple characters. Our primary

15 Mathematical Tools for Multivariate Character Analysis This chapter introduces a variety of tools from matrix algebra and multivariate statistics useful in the analysis of selection on multiple characters. Our primary

DocID: 1u8YK - View Document

Software package for Multivariate Analysis and Multivariate Time Series Analysis Version 2.0+ Brodgar was developed by: Highland Statistics Ltd.

Software package for Multivariate Analysis and Multivariate Time Series Analysis Version 2.0+ Brodgar was developed by: Highland Statistics Ltd.

DocID: 1tX3L - View Document

Semidefinite Optimization with Applications in Sparse Multivariate Statistics Alexandre d’Aspremont ORFE, Princeton University  Joint work with L. El Ghaoui, M. Jordan, V. Krishnamurthy, G. Lanckriet,

Semidefinite Optimization with Applications in Sparse Multivariate Statistics Alexandre d’Aspremont ORFE, Princeton University Joint work with L. El Ghaoui, M. Jordan, V. Krishnamurthy, G. Lanckriet,

DocID: 1tFCF - View Document

R: statistics for all of us R: an international statistical collaboratory Prepared for part of the symposium on Multivariate Statistical Methods in Individual Differences Research International Society for the Study of I

R: statistics for all of us R: an international statistical collaboratory Prepared for part of the symposium on Multivariate Statistical Methods in Individual Differences Research International Society for the Study of I

DocID: 1tmk6 - View Document