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Igor Carron
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Igor Carron
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Blogs (Nuit Blanche, ....)  - 
 
Another use of Random Features: Streaming Anomaly Detection Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection by Markus Schneider, Wolfgang Ertel, Fabio Ramos We present a novel algo...
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Igor Carron
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Discussion  - 
 
Le « deep learning », ou « apprentissage profond », va-t-il révolutionner notre approche de l’intelligence artificielle ? Rencontre avec un des inventeurs de cette méthode d'apprentissage automatique, Yann Le Cun.
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Igor Carron
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Meetups / meetings  - 
 
La newsletter du Paris Machine Learning Meetup Newsletter pour Février 2016. http://nuit-blanche.blogspot.fr/2016/02/paris-machine-learning-meetup.html 
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Igor Carron
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Blogs (Nuit Blanche, ....)  - 
 
At the crossroad of Matrix Factorization and Deep Neural Networks: Exploiting Low-dimensional Structures to Enhance DNN Based Acoustic Modeling in Speech Recognition by Pranay Dighe, Gil Luyet, Afsaneh Asaei, Herve Bourlar...
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Igor Carron
owner

Blogs (Nuit Blanche, ....)  - 
 
Diego just sent me the following: Hello, I've followed NuitBlanche for a couple years now and it would be a honour for me if you would consider a recent publication of ours to appear in your CS hardware list. We only point ...
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Igor Carron
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Blogs (Nuit Blanche, ....)  - 
 
If anyone knows Raquel, I'd love talking to her ! Raquel uses a TI lightcrafter for the light modulation and an arduino to do the synchronization with the single pixel. She uses this Matlab to Lightcrafter library written by ...
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Around the blogs in 78 minutes: NIPS2015 edition
nuit-blanche.blogspot.com

A few people who attended the NIPS conference ended up writing about it and about the OpenAI announcement, here are the few I noticed: On th

Paris Machine Learning #4 Season 3: Netflix, CRISPR, SFdS, Craft.ai
nuit-blanche.blogspot.com

We will be at Salle Pierre Nicole (Maison des Mines) thanks to Société Française de Statistique. The networking event is sponsored by MathWo

Challenge: Computational Imaging for VLBI Image Reconstruction
nuit-blanche.blogspot.com

Here is a reconstruction endeavor that could eventually help the Event Horizon Telescope: Computational Imaging for VLBI Image Reconstructio

Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation
nuit-blanche.blogspot.com

Compressive Sampling using Annihilating Filter-based Low-Rank Interpolation by Jong Chul Ye, Jong Min Kim, Kyong Hwan Jin While the recent t

Perfect Recovery Conditions For Non-Negative Sparse Modeling / Compressi...
nuit-blanche.blogspot.com

Perfect Recovery Conditions For Non-Negative Sparse Modeling by Yuki Itoh, Marco F. Duarte, Mario Parente Sparse modeling has been widely an

Random Features Roundup
nuit-blanche.blogspot.com

Following up on this morning's blog entry, here are some papers/posters featuring the use of Random Features: Here is a Thesis Proposal and

Unlabeled Sensing with Random Linear Measurements
nuit-blanche.blogspot.com

From the introduction: Unlabeled sensing has potential applications in a number of different fields. Consider the following example. You are

Book: Convex Optimization: Algorithms and Complexity, Sébastien Bubeck
nuit-blanche.blogspot.com

Sébastien Bubeck mentioned it on his blog here is his new introduction to convex optimization entitled: Convex Optimization: Algorithms and

Thesis: High-Dimensional Big Data Processing with Dictionary Learning an...
nuit-blanche.blogspot.com

High-Dimensional Big Data Processing with Dictionary Learning and Diffusion Maps by Aviv Rotbart Algorithms for modern Big Data analysis dea

Universality laws for randomized dimension reduction, with applications
nuit-blanche.blogspot.com

It's been mentioned by a few of you, Giuseppe being the first (thanks !) Universality laws for randomized dimension reduction, with applicat

Job: PhD studentships and maybe a postdoc, Iowa State University
nuit-blanche.blogspot.com

Namrata just let me know of the following opportunities in her group (for those interested in osting similar job opportunities, do not hesit

CSJobs: Postdocs / PhDs / internships opportunities, Saclay, France
nuit-blanche.blogspot.com

Jerome let me know of a few postdoc/PhD/internship opportunities in his lab, here they are: Stages “Sparse blind source separation from mult

Slides and Videos: Randomized Numerical Linear Algebra reading group, Be...
nuit-blanche.blogspot.com

Laura Grigori co-organized with Jim Demmel, Ming Gu, Michael Mahoney, the Randomized Numerical Linear Algebra reading group at Berkeley this

Blind and reference-free fluorescence lifetime estimation via consumer t...
nuit-blanche.blogspot.com

Ayush just sent me the following: Hi Igor: I have been an avid follower of you blog since time immemorial. ;) I am not sure if the content o

Scampi: a robust approximate message-passing framework for compressive i...
nuit-blanche.blogspot.com

Scampi: a robust approximate message-passing framework for compressive imaging by Jean Barbier, Eric Tramel, Florent Krzakala Reconstruction

Machine Learning Summer School 2016, University of Cadiz, Spain, May 11t...
nuit-blanche.blogspot.com

Joan just sent me the following: Dear Igor, I hope you are doing well. I just wanted to let you know that we are organizing the upcoming mac

PCMI Summer School, "The Mathematics of Data", June 30 – July 20, 2016, ...
nuit-blanche.blogspot.com

Michael sent me the following last week: Hi Igor, Hope all is well with you. I wanted to let you know about a summer school the "Mathematics

Random Features Roundup
nuit-blanche.blogspot.com

Here is this week roundup of preprints using Random Features (or avoiding them in the related section) Deep Mean Maps Junier B. Oliva, Douga

Nuit Blanche
nuit-blanche.blogspot.com

A blog about Compressive Sensing, Computational Imaging, Machine Learning. Using priors to avoid the curse of dimensionality arising in Big

Convenience clouds your mind: Determining building interior structures u...
nuit-blanche.blogspot.com

This is a very nice example. Every once in while, people ask me whether compressive sensing is worth it. The answer is invariably: It depend