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» Unified Solution to Nonnegative Data Factorization Problems
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ECML
2005
Springer
13 years 9 months ago
Clustering and Metaclustering with Nonnegative Matrix Decompositions
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...
Liviu Badea
JCAM
2010
84views more  JCAM 2010»
13 years 2 months ago
An interior-point method for large constrained discrete ill-posed problems
Ill-posed problems are numerically underdetermined. It is therefore often beneficial to impose known properties of the desired solution, such as nonnegativity, during the solution...
Serena Morigi, Lothar Reichel, Fiorella Sgallari
KDD
2010
ACM
286views Data Mining» more  KDD 2010»
13 years 6 months ago
Nonnegative shared subspace learning and its application to social media retrieval
Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Tru...
ICDM
2007
IEEE
148views Data Mining» more  ICDM 2007»
14 years 2 months ago
Binary Matrix Factorization with Applications
An interesting problem in Nonnegative Matrix Factorization (NMF) is to factorize the matrix X which is of some specific class, for example, binary matrix. In this paper, we exten...
Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiangsu...
JMIV
2006
72views more  JMIV 2006»
13 years 7 months ago
A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications
We propose a new method for the Lambertian Shape From Shading (SFS) problem based on the notion of Crandall-Lions viscosity solution. This method has the advantage of requiring the...
Emmanuel Prados, Fabio Camilli, Olivier D. Faugera...