recentpopularlog in

kintopp : mathematica   57

implementation details - how to take ImageFeatures? - Mathematica Stack Exchange
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
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
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
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
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
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
(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
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
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
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
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
(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
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
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
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
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
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
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
archery
The following is an English translation of an essay "Algoritmes uit de kunst" written by Julius de Hond and recently published on the Dutch website deFusie.net. via Pocket
animation  art  code  mathematica 
may 2015 by kintopp
Dennis Yurichev: 13-May-2015: (Beginners level) Analyzing unknown binary files using information entropy.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

Copy this bookmark:





to read