We featured an instance of Data Driven or Zero Knowledge Sensor Design: a Depth Camera for Close-Range Human Capture and Interaction

This panel video entitled Is Deep Learning the Final Frontier and the End of Signal Processing ? produced a strong reaction from one of the leaders in Deep Learning. His response: Yoshua Bengio's view on Deep Learning. I added a few items in Parallel Paths for Deep Learning and Signal Processing ?. Yoshua Bengio's tutorial slides at KDD that also took place this week are at: Scaling up Deep Learning. Other KDD slides and more can be found here.

In a different direction, we had several genomics items of interest and how compressive sensing and advanced matrix factorization could play a role there:

- Videos and Slides: Next-Generation Sequencing Technologies - Elaine Mardis (2014)
- Improving Pacific Biosciences' Single Molecule Real Time Sequencing Technology through Advanced Matrix Factorization ?
- DNA Sequencing, Information Theory, Advanced Matrix Factorization and all that...
- Saturday Morning Video: Life at the Speed of Light - Craig Venter ( and some remarks )

We also featured quite a few Sunday Morning Insights:

and had at least two entries on reproducible research

We also had quite a few implementations made available by their authors:

- Turbo Compressed Sensing with Partial DFT Sensing Matrix - implementation -
- DDRS : Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings - implementation -
- From Denoising to Compressed Sensing - implementation -
- Optimization of Convex Functions with Random Pursuit - implementation -
- Maximum Entropy Hadamard Sensing of Sparse and Localized Signals - implementation -
- Exponential decay of reconstruction error from binary measurements of sparse signals - implementation -

and one entry related to compressive hardware:

We had several very interesting preprint related entries:

- Universal Streaming
- Compressive Sampling of Polynomial Chaos Expansions: Convergence Analysis and Sampling Strategies
- sFFT-DT: Sparse Fast Fourier Transform for Exactly and Generally K-Sparse Signals by Downsampling and Sparse Recovery
- WiTrack and RTI Goes Wild: Indoor and Outdoor Radio Tomographic Imaging
- The Visual Microphone: Passive Recovery of Sound from Video
- Review: Low Complexity Regularization of Linear Inverse Problems
- The application of Compressed Sensing for Longitudinal MRI / Multichannel Compressive Sensing MRI Using Noiselet Encoding
- Kernel nonnegative matrix factorization without the curse of the pre-image
- Robust width: A characterization of uniformly stable and robust compressed sensing
- A compressed sensing perspective of hippocampal function
- Fastfood: Approximate Kernel Expansions in Loglinear Time - The Paper -
- Foundations of Compressed Sensing
- Compressed beamforming
- Deep Learning and Convolutional Kernel Networks

The blogs

Videos and slides:

- Saturday Morning Video: Life at the Speed of Light - Craig Venter ( and some remarks )
- Videos and Slides: Next-Generation Sequencing Technologies - Elaine Mardis (2014)
- Saturday Morning Videos: Intelligent Machines, Simon Knowles
- Saturday Morning Videos: Two Talks on Synthetic Biology
- Saturday Morning Video: Signal and Image Classification - Stephane Mallat
- Slides: Deep Learning - Russ Salakhutdinov, KDD2014, Accelerating Random Forests on Scikit-Learn - Gilles Louppe

CfP

- #itwist14 and CfP: Biomedical and Astronomical Signal Processing (BASP) Frontiers 2015
- IPAM workshop on Computational Photography and Intelligent Cameras, February 4 - 6, 2015
- TCMM 2014, International Workshop on Technical Computing for Machine Learning and Mathematical Engineering - Last call for participation

Copyright ESA/Rosetta/NAVCAM

Title Comet on 23 August 2014 - NavCam

Released 27/08/2014 10:00 am

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