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SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
13 years 6 months ago
On Finding Joint Subspace Boolean Matrix Factorizations
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
Pauli Miettinen
ICASSP
2008
IEEE
15 years 10 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
ICML
2004
IEEE
15 years 9 months ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
WSCG
2003
164views more  WSCG 2003»
15 years 5 months ago
Visual System for Tracking and Interpreting Selected Human Actions
This paper describes an autonomous vision system for realization of tasks consist of following a person with a mobile robot as well as interpreting some static and dynamic command...
Bogdan Kwolek
ICNSC
2007
IEEE
15 years 10 months ago
Improved estimation for object localization via sensor networks
The paper addresses object localization via a distributed sensor network. A centralized estimation approach is undertaken along with a selective node activation strategy to ensure...
Alessio Benavoli, Luigi Chisci