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SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
11 years 9 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
14 years 1 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
14 years 24 days 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»
13 years 8 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
14 years 1 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