Nuit Blanche in Review ( August 2014 )

Since the last Nuit Blanche in Review (July 2014), Rosetta arrived at 67P but many other awesome things happened:

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: 

• Sunday Morning Insight: Why Kaggle Changes Everything
• Sunday Morning Insight: Physics Driven Sensor Design ?
• Sunday Morning Insight: Relax, no need to round: integrality of clustering formulations
• Sunday Morning Insight: Self-Configuring Universal Linear Optical Components

and had at least two entries on reproducible research

• Reproducible Research: MRI Data
• January-July 2014: Seven Months of 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:

• Compressive Sparse Light Deflection Maps and Imaging for Telescopic Systems

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

• Around the Blogs in 78 Summer Hours

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

Other:

• Advice to a Freshly Graduated Graduate Student
• Oldies but Goodies

Copyright ESA/Rosetta/NAVCAM
Title Comet on 23 August 2014 - NavCam
Released 27/08/2014 10:00 am
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