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How to store millions of images for data analysis?

Hi. I am looking for suggestions how to store ~10 million images. Each image has different size and has heterogenous information attached (basically a dozen key value pairs). They are rather small...

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It seems like the first step toward good machine vision is scale/distance logic

Is this the current favored technique?Background: Natural or man made (Color, texture, pattern) Judging Distance to camera: Visible texture, Atmospheric diffusion Judging distance to background:...

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Interest in machine learning reading group meetup following this course...

How many people would be interested in machine learning reading group meetup following this course http://www.seas.harvard.edu/courses/cs281/. We can meet weekly and read the book "Kevin Murphy,...

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Video of interview with DeepMind & Swiftkey founders, nice footage of how...

submitted by test3545 [link][1 comment]

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Learning to Execute

submitted by madisonmay [link][comment]

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Robustness to wrong labels

I was wondering if someone cold refer to some literature on the robustness to wrongly labelled learning data. I currently have a problem where I have a limited amount of examples for which I have some...

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Upcoming workshop combining Machine Learning with Security: Looking for papers

Hi I am a research assistant to Dr. Verma at the University of Houston, Dr. Verma and 4 other professors from the University of Texas, University of Houston, and the University of Massachusetts are...

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Dimensionality Reduction for non numerical data?

If I have datasets with lot of features, some of them are non numerical (symbolic), is it possible to apply Dimensionality Reduction like with PCA and/or using Feature Extraction like RBM ? submitted...

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What's the best way to deploy a complicated machine learning model into a...

For example, I can develop a model (say a random forest) in R but then have to deploy it where I can't use R and have to write all the code myself.A possible way is to use R to generate all possible...

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"Deep Learning" with non-Image/Audio/Text data. (Proteins)

Hi, I work with data that isn't Vision/images, audio or natural text, (Protein sequences). I've done a fair bit of work on extracting features from the sequences using a variety of representations...

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Allreduce (or MPI) vs. Parameter server approaches

submitted by vkhuc [link][comment]

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Will expectation maximization always improve upon the last iteration until...

I am trying to implement an expectation maximization algorithm, and my implementation tends towards the optimal solution, but the tedancy is not consistent (calculated from the kullback leibler...

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Stephen Hawking warns artificial intelligence could end mankind

submitted by katchoovanski [link][1 comment]

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Cognitive algortihm

Lots of people think that main problem in AI is a lack of funding. I disagree, Einstein didn't need a pay to work on his theory. GI is the most theoretical problem ever, & such work must be driven...

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Getting the index of a leaf where an example belongs in scikit learn

Hi everyone,Is there any way to get the leaf to which an example belongs in scikit-learn's trees ? Actually I am trying out the method suggested in this article practical lessons facebook from...

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Python Tools for Visual Studio now integrates with Azure Machine Learning

submitted by MLBlogTeam [link][comment]

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Libraries to get calibrated probabilities for ML outlier detection algorithm ?

I am currently developping a 2 class classification algorithm. However, as the dataset is at the moment really small (<50 observations) and imbalanced (~1/10 ratio), I decided to rather first...

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Need help with approaching enrollment prediction

Hello! So, we've broken the greater enrollment problem into a smaller one that just looks at the past 5 years worth of transcripts and sees if it can use that information to predict whether or not a...

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Advice on self-study for my winter break?

Hello everyone,I'm a math major interested in getting into data science. I took a seminar on data science this semester (ending in 2 weeks) and it was entirely on data mining/python/data...

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Lego robot with the "brain" of a real worm

submitted by rumpelstilzien [link][1 comment]

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