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» Algorithms for Non-negative Matrix Factorization
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AAAI
2006
13 years 9 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang
COST
2010
Springer
131views Multimedia» more  COST 2010»
13 years 2 months ago
Understanding Parent-Infant Behaviors Using Non-negative Matrix Factorization
Abstract. There are considerable differences among infants in the quality of interaction with their parents. These differences depend especially on the infants development which af...
Ammar Mahdhaoui, Mohamed Chetouani
CVPR
2011
IEEE
13 years 3 months ago
High-resolution Hyperspectral Imaging via Matrix Factorization
Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras ar...
Rei Kawakami, John Wright, Yu-Wing Tai, Yasuyuki M...
ECML
2005
Springer
14 years 1 months ago
Fast Non-negative Dimensionality Reduction for Protein Fold Recognition
Abstract. In this paper, dimensionality reduction via matrix factorization with nonnegativity constraints is studied. Because of these constraints, it stands apart from other linea...
Oleg Okun, Helen Priisalu, Alexessander Alves
SIGIR
2008
ACM
13 years 7 months ago
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. D...