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» Semantic Analysis of Matrix Structures
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WWW
2010
ACM
14 years 2 months ago
Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce
The Web abounds with dyadic data that keeps increasing by every single second. Previous work has repeatedly shown the usefulness of extracting the interaction structure inside dya...
Chao Liu, Hung-chih Yang, Jinliang Fan, Li-Wei He,...
NIPS
2000
13 years 8 months ago
Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech
An eigenvalue method is developed for analyzing periodic structure in speech. Signals are analyzed by a matrix diagonalization reminiscent of methods for principal component analy...
Lawrence K. Saul, Jont B. Allen
ICIP
2004
IEEE
14 years 9 months ago
Enhancing latent semantic analysis video object retrieval with structural information
The work presented in this paper aims at reducing the semantic gap between low level video features and semantic video objects. The proposed method for finding associations betwee...
Benoit Huet, Bernard Mérialdo, Fabrice Souv...
ICASSP
2009
IEEE
13 years 5 months ago
Probabilistic matrix tri-factorization
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
Jiho Yoo, Seungjin Choi
ICVS
2003
Springer
14 years 18 days ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock