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Friday, May 22, 2015

PCANet: A Simple Deep Learning Baseline for Image Classification? - implementation -

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Iteration of matrix factorizations as a way to build deep architectures. Interesting ! PCANet: A Simple Deep Learning Baseline for Im...

Four million page views: a million here, a million there and soon enough we're talking real readership...

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    I know it's just a number but there is some Long Distance Blogging behind this figure. It amounts to about a million...
Thursday, May 21, 2015

The Great Convergence: FlowNet: Learning Optical Flow with Convolutional Networks

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The great convergence is upon us, here is clue #734: Andrew Davison  mentioning recent work in optical flow using CNNs. Whoa, this is...

CSjob: Post-Doc on Structured Low-Rank Approximations, Grenoble, France

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Julien Mairal just sent me the following annoucement: Hi Igor, here is a call for a post-doc for an ANR project. http://lear.inrialpes....

Low-rank Modeling and its Applications in Image Analysis

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Xiaowei Zhou sent me the following the other day: Dear Dr Carron, We had the following survey paper published several months a...
Wednesday, May 20, 2015

Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems - implementation -

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So phase retrieval can actually be fast and with near sample complexity ! Wow !   Solving Random Quadratic Systems of Equations Is Ne...
Tuesday, May 19, 2015

Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints

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Here is some new sample complexity results for blind deconvolution, a certain kind of matrix factorization technique. Identifiability...

Tensor time: Adaptive Higher-order Spectral Estimators / Bayesian Sparse Tucker Models for Dimension Reduction and Tensor Completion

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  Adaptive Higher-order Spectral Estimators by David Gerard , Peter Hoff Many applications involve estimation of a signal matrix ...
Monday, May 18, 2015

Blue Skies: Foundational principles for large scale inference, Stochastic Simulation and Optimization Methods in Signal Processing, Streaming and Online Data Mining , Kernel Models and more.

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The following papers and presentations provide a bird's eye view as to where we are on specific topics related to some of the issues di...

Tensor sparsification via a bound on the spectral norm of random tensors

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Tensor sparsification as a way to do dimensionality reduction: Tensor sparsification via a bound on the spectral n...