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» Dimensionality Reduction with Image Data
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KES
2010
Springer
14 years 8 months ago
Visualization of Text Streams: A Survey
— This work presents related areas of research, types of data collections that are visualized, technical aspects of generating visualizations, and evaluation methodologies. Exist...
Artur Silic, Bojana Dalbelo Basic
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
15 years 4 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun
JMLR
2010
132views more  JMLR 2010»
14 years 4 months ago
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mu...
EVENT
2001
101views more  EVENT 2001»
14 years 11 months ago
Temporal Events in All Dimensions and Scales
This paper describes a new representation for the audio and visual information in a video signal. We reduce the dimensionality of the signals with singular-value decompositions (S...
Malcolm Slaney, Dulce B. Ponceleon, James Kaufman
TNN
2008
128views more  TNN 2008»
14 years 10 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas