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ECCV
2000
Springer
15 years 1 months ago
Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications
The Singular Value Decomposition (SVD) of a matrix is a linear algebra tool that has been successfully applied to a wide variety of domains. The present paper is concerned with the...
Manolis I. A. Lourakis, Théodore Papadopoul...
TROB
2008
109views more  TROB 2008»
13 years 11 months ago
An Investigation of the Intrinsic Force Sensing Capabilities of Continuum Robots
-- This paper presents the theoretical analysis and the experimental validation of the force sensing capabilities of continuum robots. These robots employ super-elastic NiTi backbo...
Kai Xu 0005, Nabil Simaan
CVPR
1999
IEEE
15 years 1 months ago
Yet another Method for Pose Estimation: A Probabilistic Approach using Points, Lines, and Cylinders
In this work, we use points, lines, and the linear extremal contours of cylinders to estimate the position and orientation of the camera in the world coordinate system. Other line...
Robert Hanek, Nassir Navab, Mirko Appel
IPM
2006
132views more  IPM 2006»
13 years 11 months ago
A framework for understanding Latent Semantic Indexing (LSI) performance
In this paper we present a theoretical model for understanding the performance of Latent Semantic Indexing (LSI) search and retrieval applications. Many models for understanding L...
April Kontostathis, William M. Pottenger
ICML
2009
IEEE
15 years 8 hour ago
On sampling-based approximate spectral decomposition
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...
Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar