**kintopp : mathematica**
57

implementation details - how to take ImageFeatures? - Mathematica Stack Exchange

april 2017 by kintopp

Feature extraction is a very important idea in machine learning. It allows us to build a neural network based on some of the pretrained high-performance networks. This is also the idea behind transfer learning. via Pocket

learn
mathematica
ml
deep
april 2017 by kintopp

Animated Mathematica Functions

march 2017 by kintopp

The following animations graphically illustrate the usage of a number of built-in Mathematica commands. To rewind and replay a given animation, click the purple icon in the lower right-hand corner of the pop-up window. via Pocket

documentation
learn
mathematica
march 2017 by kintopp

Linear Features in Paintings - Online Technical Discussion Groups—Wolfram Community

march 2017 by kintopp

We talk about paintings having line and direction. I made a short program to visualize linear features in an image. Here is what it does: Please see code below. I had to overcome a few obstacles to get this to work right. via Pocket

analysis
images
mathematica
march 2017 by kintopp

Overview of Machine Learning in the Wolfram Language - YouTube

february 2017 by kintopp

For the latest information, please visit:http://ift.tt/2ltwqoY: Etienne BernardWolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and more. via Pocket

learn
talk
mathematica
ml
february 2017 by kintopp

GitHub - jfrancis71/CognitoNet: Feedforward Convolutional Neural Network for Mathematica

january 2017 by kintopp

Welcome to CognitoNet. CognitoNet is a Mathematica implementation of Convolutional Neural Nets. Objectives of the project are to make neural networks: Accessible Interactive Flexible Extensible Efficient in descending order of priority. via Pocket

mathematica
deep
january 2017 by kintopp

Running Mathematica on the Cloud with Rescale - YouTube

december 2016 by kintopp

Rescale and Wolfram Research introduce their partnership and highlight the benefits users gain by running on the cloud. Learn how to instantly scale out Mathematica analyses by leveraging Rescale's dynamic and flexible platform. via Pocket

cloud
gpu
howto
mathematica
december 2016 by kintopp

How can I train a logo detector? - Online Technical Discussion Groups—Wolfram Community

december 2015 by kintopp

(Unmark) Mark as an Answer Be respectful. Review our Community Guidelines to understand your role and responsibilities. via Pocket

recognition
mathematica
images
december 2015 by kintopp

LibraryLink Example with OpenCV from Macports - Online Technical Discussion Groups—Wolfram Community

november 2015 by kintopp

Recently Macports is gaining more attention from the open source community on the Mac platform. It has a build for OpenCV which is every intuitive to install in terminal. Here is the package info of this OpenCV port: Usually default install location is /opt/local/. via Pocket

analysis
processing
mathematica
images
november 2015 by kintopp

graphics - Custom edge style (e.g. brush stroke, writing ink, etc.) - Mathematica Stack Exchange

november 2015 by kintopp

You ought to use EdgeRenderingFunction to achieve this. Then use the EdgeRenderingFunction option in GraphPlot to obtain the image. via Pocket

kanji
mathematica
november 2015 by kintopp

Wolfram Programming Lab: Computational Thinking Starts Here

november 2015 by kintopp

The Wolfram Language concept: make the language do the work, not you! Automate as much as possible, so you write a tiny piece of code, and the computer figures out everything else. via Pocket

learn
mathematica
november 2015 by kintopp

Aspect Ratios in Art: What Is Better Than Being Golden? Being Plastic, Rooted, or Just Rational? Investigating Aspect Ratios of Old vs. Modern Paintings—Wolfram Blog

november 2015 by kintopp

Paintings of the great masters are among the most beautiful human artifacts ever produced. They are treasured and admired, carefully preserved, sold for hundreds of millions of dollars, and, perhaps not coincidentally, are the prime target of art thieves. via Pocket

arthistory
analysis
mathematica
images
november 2015 by kintopp

Analytics of Republican Debate and network percolation - Online Technical Discussion Groups—Wolfram Community

october 2015 by kintopp

(Unmark) Mark as an Answer Be respectful. Review our Community Guidelines to understand your role and responsibilities. via Pocket

demos
howto
networks
text
analysis
mathematica
october 2015 by kintopp

Setting up RLink for Mathematica

october 2015 by kintopp

RLink is a standard Mathematica package for accessing R functionality from Mathematica. This is a guide on how to set up RLink with arbitrary R installations on various operating systems and various versions of Mathematica. OS X 10.11 El Capitan users, please see this note. via Pocket

statistics
tools
mathematica
october 2015 by kintopp

IGraph/M: igraph interface for Mathematica - Online Technical Discussion Groups—Wolfram Community

october 2015 by kintopp

igraph is a graph manipulation and analysis package. IGraph/M makes its functionality available from Mathematica. This initial release, version 0.1, covers only some igraph functions, as I focused on the things that I need personally. via Pocket

networks
tools
mathematica
october 2015 by kintopp

Simple time series conversational engine | Mathematica for prediction algorithms

september 2015 by kintopp

In this blog post I am going to discuss the creation (design and programming) of a simple conversational engine for time series analysis. The conversational engine responds to commands for: 1. loading time series data (weather data, stock data, or data files), 2. finding outliers, 3. via Pocket

interactive
interface
language
mathematica
september 2015 by kintopp

PackageData[]: Packages for Mathematica

september 2015 by kintopp

A blogging client for WordPress. Automatically exports a notebook to HTML and uploads it to a WordPress blog. Connect Bluetooth Low Energy/Smart/4.0 devices to Mathematica using this package. via Pocket

resources
software
mathematica
september 2015 by kintopp

Seilim/CaffeLink · GitHub

june 2015 by kintopp

This library allows using Caffe directly from Mathematica. CaffeLink can be also used as regular library from C++ applications. The interface and function calls are basicly the same as in Mathematica. Assuming you have successfully build Caffe, you should have everything needed by CaffeLink. via Pocket

tools
mathematica
ml
deep
june 2015 by kintopp

Walking Randomly » mathematica

june 2015 by kintopp

Walking Randomly Because it’s more fun than getting there in a straight line. Archive for the ‘mathematica’ Category March 12th, 2014 A recent Google+ post from Mathemania4u caught my attention on the train to work this morning. via Pocket

learn
mathematica
june 2015 by kintopp

Dennis Yurichev: 13-May-2015: (Beginners level) Analyzing unknown binary files using information entropy.

may 2015 by kintopp

For the sake of simplification, I would say, information entropy is a measure, how tightly some piece of data can be compressed. For example, it is usually not possible to compress already compressed archive file, so it has high entropy. via Pocket

compression
howto
recognition
mathematica
may 2015 by kintopp

Hands-on Start to Mathematica

may 2015 by kintopp

Ready for more self-paced learning? Browse the Learning Center » Want expert help? Sign up for a certified training course or free seminar » via Pocket

howto
learn
mathematica
may 2015 by kintopp

Function Definitions | Wolfram Language Introduction for Programmers

april 2015 by kintopp

The Wolfram Language doesn’t have types as such; everything is a symbolic expression. The “head” of an expression can be used as a kind of generalized type designator. via Pocket

documentation
learn
mathematica
april 2015 by kintopp

Posts Categorized as 'Image Processing'—Wolfram Blog

february 2015 by kintopp

In a recent series of Image Processing with Mathematica workshops held at universities across the United States, we presented Mathematica‘s new image processing functionality and applied it on the spot to attendees’ real-world problems. via Pocket

howto
analysis
mathematica
images
february 2015 by kintopp

Getting Started with OpenRefine

february 2015 by kintopp

This guide is a companion to the Data Preparation for Digital Humanities Research workshop. It is designed to help you begin using OpenRefine to: Download data (authors-people.csv) This dataset was created by the British Library. We thank them for their love of comics. via Pocket

howto
learn
statistics
mathematica
february 2015 by kintopp

Bayesian Logical Data Analysis for the Physical Sciences A Comparative Approach with Mathematica® Support | Statistics for physical sciences and engineering | Cambridge University Press

february 2015 by kintopp

Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. via Pocket

books
statistics
mathematica
february 2015 by kintopp

Probability: An Introduction with Statistical Applications, second edition

february 2015 by kintopp

Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. via Pocket

books
learn
statistics
mathematica
february 2015 by kintopp

Mathematica Data Visualization, Create and Prototype Interactive Data Visualizations Using Mathematica

february 2015 by kintopp

This book begins by introducing you to the Mathematica environment and the basics of dataset loading and cleaning. You will then learn about the different kinds of widely used datasets so that you are comfortable with the later chapters. via Pocket

books
learn
visualization
mathematica
february 2015 by kintopp

Image Processing Blog | An Open Blog Using MATLAB

february 2015 by kintopp

Here, I am going to briefly discuss the basic image processing automation tools and techniques that were used for locating a fish wound and determining its surface area and length. via Pocket

analysis
mathematica
images
february 2015 by kintopp

Peter's Functions for Computer Vision

january 2015 by kintopp

To use these functions you will need MATLAB and the MATLAB Image Processing Toolbox. You may also want to refer to the MATLAB documentation and the Image Processing Toolbox documentation Alternatively you can use Octave which is a very good open source alternative to MATLAB. via Pocket

algorithm
code
analysis
matlab
mathematica
images
january 2015 by kintopp

IPOL Journal · Image Processing On Line

january 2015 by kintopp

Image Processing On Line Latest Articles By Research Topic Inpainting Interpolation Image Comparison Optical Flow PDE Segmentation and Edges Texture Micro-Texture Synthesis by Phase Randomization · Bruno Galerne, Yann Gousseau, Jean-Michel Morel Cartoon+Texture Image Decomposition via Pocket

algorithm
code
dev
analysis
journals
mathematica
images
january 2015 by kintopp

Combinatorics of Compositions and Words - CRC Press Book

january 2015 by kintopp

Focusing on a very active area of research in the last decade, Combinatorics of Compositions and Words provides an introduction to the methods used in the combinatorics of pattern avoidance and pattern enumeration in compositions and words. via Pocket

books
text
analysis
mathematica
january 2015 by kintopp

Wolfram Screencast & Video Gallery

december 2014 by kintopp

3 videos match your search. Professor Richard J. Gaylord's Wolfram Language Fundamentals Part One59:47 Professor Richard J. Gaylord's Wolfram Language Fundamentals Part Two55:02 Professor Richard J. via Pocket

howto
learn
resources
mathematica
december 2014 by kintopp

Benedict Cumberbatch Can Charm Humans, but Can He Fool a Computer?—Wolfram Blog

december 2014 by kintopp

The Imitation Game, a movie portraying Alan Turing’s life (who would have celebrated his 100th birthday on Mathematica‘s 23rd birthday—read our blog post), was released this week, which we’ve been looking forward to. via Pocket

audio
recognition
sound
analysis
mathematica
ml
december 2014 by kintopp

Practical Linear Algebra: A Geometry Toolbox, Third Edition - CRC Press Book

december 2014 by kintopp

Here and There: Points and Vectors in 2D Points and Vectors What’s the Difference? Vector Fields Length of a Vector Combining Points Independence Dot Product Orthogonal Projections Inequalities via Pocket

learn
mathematica
december 2014 by kintopp

The Unexpected Math Behind Van Gogh's "Starry Night" | Open Culture

december 2014 by kintopp

If you’ve taken a good art history course on the Impressionists and Post-Impressionists, you’ve inevitably encountered Vincent van Gogh’s 1889 masterpiece “Starry Night,” which now hangs in the MoMA in New York City. via Pocket

art
astronomy
analysis
mathematica
images
december 2014 by kintopp

Removing Haze from a Color Photo Image Using the Near Infrared with the Wolfram Language—Wolfram Blog

december 2014 by kintopp

For most of us, taking bad pictures is incredibly easy. Band-Aid or remedy, digital post-processing can involve altering the photographed scene itself. via Pocket

analysis
photography
mathematica
images
december 2014 by kintopp

Extending Van Gogh’s Starry Night with Inpainting—Wolfram Blog

december 2014 by kintopp

Can computers learn to paint like Van Gogh? To some extent—definitely yes! For that, akin to human imitation artists, an algorithm should first be fed the original artists’ creations, and then it will be able to generate a machine take on them. How well? Please judge for yourself. via Pocket

art
arthistory
analysis
mathematica
images
december 2014 by kintopp

szhorvat/IGraphR · GitHub

october 2014 by kintopp

Call igraph with ease from Mathematica through RLink. RLink is available in Mathematica 9 or later. First, make sure that you are using an R installation that has the igraph package. via Pocket

graphs
statistics
mathematica
october 2014 by kintopp

Mathematica « Another Word For It

october 2014 by kintopp

In a blog post on Computational Knowledge and the Future of Pure Mathematics Stephen Wolfram lays out a vision that is in many ways exciting and challenging. via Pocket

debates
mathematica
october 2014 by kintopp

reference request - Where can I find examples of good Mathematica programming practice? - Mathematica Stack Exchange

september 2014 by kintopp

I consider myself a pretty good Mathematica programmer, but I'm always looking out for ways to either improve my way of doing things in Mathematica, or to see if there's something nifty that I haven't encountered yet. Where (books, websites, etc. via Pocket

howto
learn
resources
books
mathematica
september 2014 by kintopp

An Introduction to Correspondence Analysis « The Mathematica Journal

september 2014 by kintopp

Cross tabulations (also known as cross tabs, or contingency tables) often arise in data analysis, whenever data can be placed into two distinct sets of categories. via Pocket

statistics
text
analysis
mathematica
september 2014 by kintopp

Wolfram Mathematica: Comparative Analyses: Comparisons

september 2014 by kintopp

is now available! Over 400 new functions, including the new Wolfram Predictive Interface… via Pocket

mathematica
september 2014 by kintopp

Why Mathematica? Compare Mathematica to Other Technical Computing Tools

september 2014 by kintopp

Precision Control & Tracking Just-in-Time Compilation Algorithm Selection Task Oriented Functions Type Independent Functions via Pocket

mathematica
september 2014 by kintopp

Topic Modelling | Ian Milligan

september 2014 by kintopp

A few weeks ago, the Internet Archive announced its newest collection: a massively searchable database of news clips. Each clip has its closed-captioning transcription available for searching, and a thirty-second blurb from it can be played under fair use. via Pocket

topic
modeling
mathematica
september 2014 by kintopp

Digital Humanities Pedagogy: Practices, Principles and Politics

september 2014 by kintopp

Using a computer to analyze a text intimidates many humanities students, but the reality is that text analysis is becoming a fundamental and naturalized part of how we operate in a digital society. via Pocket

mathematica
september 2014 by kintopp

The Incredible Convenience of Mathematica Image Processing—Wolfram Blog

september 2014 by kintopp

It’s been possible since Version 6 of Mathematica to embed images directly into lines of code, allowing such stupid code tricks as expanding a polynomial of plots. But is this really good for anything? via Pocket

howto
analysis
mathematica
images
september 2014 by kintopp

dy/dan » Blog Archive » What Silicon Valley Gets Wrong About Math Education Again And Again

september 2014 by kintopp

The medium is the message. The medium defines, changes, and distorts the message. The words “I love you” mean one hundred different things spoken by one hundred different people. via Pocket

mooc
teach
mathematica
september 2014 by kintopp

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