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ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
13 years 11 months ago
An Optimized Key-Frames Extraction Scheme Based on SVD and Correlation Minimization
In this paper an optimized and efficient technique for keyframes extraction of video sequences is proposed, which leads to selection of a meaningful set of video frames for each g...
Klimis S. Ntalianis, Stefanos D. Kollias
IPM
2006
132views more  IPM 2006»
13 years 5 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
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
BCI
2009
IEEE
14 years 3 days 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...
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
14 years 5 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu