Matrix factorization techniques in machine learning, signal processing, and statistics
Compressed sensing is an alternative to Shannon/Nyquist sampling for acquiring sparse or
compressible signals. Sparse coding represents a signal as a sparse linear combination of …
compressible signals. Sparse coding represents a signal as a sparse linear combination of …
Linear and nonlinear projective nonnegative matrix factorization
A variant of nonnegative matrix factorization (NMF) which was proposed earlier is analyzed
here. It is called projective nonnegative matrix factorization (PNMF). The new method …
here. It is called projective nonnegative matrix factorization (PNMF). The new method …
Algorithms for orthogonal nonnegative matrix factorization
S Choi - 2008 ieee international joint conference on neural …, 2008 - ieeexplore.ieee.org
Nonnegative matrix factorization (NMF) is a widely-used method for multivariate analysis of
nonnegative data, the goal of which is decompose a data matrix into a basis matrix and an …
nonnegative data, the goal of which is decompose a data matrix into a basis matrix and an …
Community detection with edge content in social media networks
The problem of community detection in social media has been widely studied in the social
networking community in the context of the structure of the underlying graphs. Most …
networking community in the context of the structure of the underlying graphs. Most …
Multiplex cellular communities in multi-gigapixel colorectal cancer histology images for tissue phenoty**
In computational pathology, automated tissue phenoty** in cancer histology images is a
fundamental tool for profiling tumor microenvironments. Current tissue phenoty** methods …
fundamental tool for profiling tumor microenvironments. Current tissue phenoty** methods …
Non-negative multilinear principal component analysis of auditory temporal modulations for music genre classification
Y Panagakis, C Kotropoulos… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Motivated by psychophysiological investigations on the human auditory system, a bio-
inspired two-dimensional auditory representation of music signals is exploited, that captures …
inspired two-dimensional auditory representation of music signals is exploited, that captures …
Panda: Unsupervised learning of parts and appearances in the feature maps of gans
Recent advances in the understanding of Generative Adversarial Networks (GANs) have led
to remarkable progress in visual editing and synthesis tasks, capitalizing on the rich …
to remarkable progress in visual editing and synthesis tasks, capitalizing on the rich …
Bilinear models of parts and appearances in generative adversarial networks
Recent advances in the understanding of Generative Adversarial Networks (GANs) have led
to remarkable progress in visual editing and synthesis tasks, capitalizing on the rich …
to remarkable progress in visual editing and synthesis tasks, capitalizing on the rich …
A topology simplification method for 2D vector fields
X Tricoche, G Scheuermann… - … Visualization 2000. VIS …, 2000 - ieeexplore.ieee.org
Topology analysis of plane, turbulent vector fields results in visual clutter caused by critical
points indicating vortices of finer and finer scales. A simplification can be achieved by …
points indicating vortices of finer and finer scales. A simplification can be achieved by …
Unified development of multiplicative algorithms for linear and quadratic nonnegative matrix factorization
Multiplicative updates have been widely used in approximative nonnegative matrix
factorization (NMF) optimization because they are convenient to deploy. Their convergence …
factorization (NMF) optimization because they are convenient to deploy. Their convergence …