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ICMCS
2006
IEEE
187views Multimedia» more  ICMCS 2006»
13 years 10 months ago
A Nonnegative Matrix Factorization Scheme for Digital Image Watermarking
We present a new scheme for digital watermarking and secure copyright protection of digital images using nonnegative matrix factorization and singular value decomposition approach...
Mohammadreza Ghaderpanah, A. Ben Hamza
3DPVT
2006
IEEE
153views Visualization» more  3DPVT 2006»
13 years 10 months ago
Reconstructing a 3D Line from a Single Catadioptric Image
This paper demonstrates that, for axial non-central optical systems, the equation of a 3D line can be estimated using only four points extracted from a single image of the line. T...
Douglas Lanman, Megan Wachs, Gabriel Taubin, Ferna...
IJCNN
2007
IEEE
13 years 10 months ago
Sparse Distributed Representations for Words with Thresholded Independent Component Analysis
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...
Jaakko J. Väyrynen, Lasse Lindqvist, Timo Hon...
ICAC
2007
IEEE
13 years 11 months ago
Adaptive Multi-levels Dictionaries and Singular Value Decomposition Techniques for Autonomic Problem Determination
An autonomic problem determination system can adapt to changing environments, react to existing or new error condition and predict possible problems. In this report, we propose su...
Hoi Chan, Thomas Kwok
MUE
2008
IEEE
143views Multimedia» more  MUE 2008»
13 years 11 months ago
A Robust Watermark Scheme for Copyright Protection
In this paper, we propose a robust watermark technology that can be used to protect copyright. We enhance robustness of the watermark such that it can be used to protect the intel...
Chu-Hsing Lin, Jung-Chun Liu, Chih-Hsiong Shih, Ya...
ICRA
2008
IEEE
158views Robotics» more  ICRA 2008»
13 years 11 months ago
Inverse Kinematics without matrix inversion
– This paper presents a new singularity robust and computationally efficient method for solving the inverse kinematics (IK) problem. In this method, the transformation from Carte...
Alexandre N. Pechev
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
13 years 11 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
BCI
2009
IEEE
13 years 11 months ago
On the Performance of SVD-Based Algorithms for Collaborative Filtering
—In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...
ICML
2009
IEEE
14 years 5 months 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
ICPR
2004
IEEE
14 years 5 months ago
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
Alan Wee-Chung Liew, Hong Yan, Xiangchao Gan