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Computer vision for dummies - A blog about intelligent algorithms, machine learning, computer vision, datamining and more.

This blog contains articles, discussions and source code samples related to computer vision, machine learning, artificial intelligence, pattern recognition and more.

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Computer vision for dummies - A blog about intelligent algorithms, machine learning, computer vision, datamining and more. | visiondummy.com Reviews
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Computer vision for dummies - A blog about intelligent algorithms, machine learning, computer vision, datamining and more. | visiondummy.com Reviews

https://visiondummy.com

This blog contains articles, discussions and source code samples related to computer vision, machine learning, artificial intelligence, pattern recognition and more.

INTERNAL PAGES

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1

Why divide the sample variance by N-1? - Computer vision for dummies

http://www.visiondummy.com/2014/03/divide-variance-n-1

Computer vision for dummies. Machine Learning Books: A review. Raquo; Math basics. Raquo; Why divide the sample variance by N-1? Why divide the sample variance by N-1? Minimum variance, unbiased estimators. Estimating the variance if the mean is known. Estimating the variance if the mean is unknown. If you have to estimate both the mean and the variance of the data (which is typically the case), then divide by N-1, such that the variance is obtained as:. Which represents the average deviation of each dat...

2

About me - Computer vision for dummies

http://www.visiondummy.com/aboutme

Computer vision for dummies. Machine Learning Books: A review. Raquo; About me. My name is Vincent Spruyt. I’m a machine learning and pattern recognition aficionado, data scientist, currently working as VP Chief Scientist at Sentiance. Working mostly on semi-supervised, self-adaptive and context-sensitive learning, big data and small data in high dimensional settings. Obviously the maths are important, but for many of us they are just a means to an end, and not a goal in itself. On this blog, I will ...

3

Statistics Archives - Computer vision for dummies

http://www.visiondummy.com/category/math-basics/statistics

Computer vision for dummies. Machine Learning Books: A review. Raquo; Math basics. Raquo; Archive by category "Statistics". How to draw a covariance error ellipse? In this post, I will show how to draw an error ellipse, a.k.a. confidence ellipse, for 2D normally distributed data. The error ellipse represents an iso-contour of the Gaussian distribution, and allows you to visualize a 2D confidence interval. The following figure shows a 95% confidence ellipse for. April 3, 2014. March 7, 2014. Subscribe to ...

4

Math basics Archives - Computer vision for dummies

http://www.visiondummy.com/category/math-basics

Computer vision for dummies. Machine Learning Books: A review. Raquo; Archive by category "Math basics". A geometric interpretation of the covariance matrix. In this article, we provide an intuitive, geometric interpretation of the covariance matrix, by exploring the relation between linear transformations and the resulting data covariance. Most textbooks explain the shape of data based on the concept of covariance matrices. Instead, we take a backwards approach and explain the. April 24, 2014. Eigenvect...

5

The Curse of Dimensionality in Classification

http://www.visiondummy.com/2014/04/curse-dimensionality-affect-classification

Computer vision for dummies. Machine Learning Books: A review. Raquo; Dimensionality reduction. Raquo; Feature extraction. Raquo; The Curse of Dimensionality in classification. The Curse of Dimensionality in classification. The curse of dimensionality and overfitting. How to avoid the curse of dimensionality? If 05*red 0.3*green 0.2*blue 0.6 : return cat;. Else return dog;. To obtain an even more accurate classification, we could add more features, based on color or texture histograms, statistical moment...

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Keep up with Computer Vision: 15 Twitter Accounts to Follow – Eastern European Computer Vision Conference

http://eecvc.com/keep-up-with-computer-vision-15-twitter-accounts-to-follow

Keep up with Computer Vision: 15 Twitter Accounts to Follow. Posted in CV blog. Posted By: Computer Vision Conference. Getting connected and learn from each other is an opportunity we have in today’s world. Twitter is one of the networks that can help us learn new things fast and get found in a matter of minutes. We have collected most top-notch Twitter accounts to follow if you are interested in computer vision and algorithms. Some of the accounts are kept by computer vision bloggers. Vincent Spruyt is ...

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superneo77 | neo4i

https://superneo77.net/author/superneo77

Intelligence (AI), CSE, Mathematics, Statistics, Machine Learning, Natural Language Processing, Neural Network, Pattern Recognition, Data Science, MOOC. Statement of accomplishment for Coursera Machine Learning class. Anyway, I’m personally proud of what I’ve done for the last couple months. And deep appreciation to Andrew Ng for this encouraging class. Statement of accomplishment: Coursera ml 2014. This entry was posted in Machine Learning. October 1, 2014. NuPIC on machine intelligence. August 31, 2014.

superneo77.net superneo77.net

the one posting on the curse of dimensionality | neo4i

https://superneo77.net/2014/05/18/curse-of-dimensionality

Intelligence (AI), CSE, Mathematics, Statistics, Machine Learning, Natural Language Processing, Neural Network, Pattern Recognition, Data Science, MOOC. The one posting on the curse of dimensionality. I just found a blog on computer vision and machine learning. And got a chance to have a fundamental and clear understanding of the curse of dimensionality. It would be really worth reading the whole materials on that blog, and that’s what i’m gonna do for the next week. And tagged Machine Learning. Create a...

superneo77.net superneo77.net

Machine Learning | neo4i

https://superneo77.net/tag/machine-learning

Intelligence (AI), CSE, Mathematics, Statistics, Machine Learning, Natural Language Processing, Neural Network, Pattern Recognition, Data Science, MOOC. Tag Archives: Machine Learning. The one posting on the curse of dimensionality. I just found a blog on computer vision and machine learning. And got a chance to have a fundamental and clear understanding of the curse of dimensionality. This entry was posted in Machine Learning. And tagged Machine Learning. May 18, 2014. Undergraduate ML course at UBC 2012.

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Undergraduate Math Bloggers | Division by Zero

https://divisbyzero.com/2014/02/18/undergraduate-math-bloggers

A blog about math, puzzles, teaching, and academic technology. Posted by: Dave Richeson. February 18, 2014. I was interested seeing how undergraduate math students used blogs (and related platforms, like Tumblr). So I posted a call on Google. Im looking for mathematics blogs written by undergraduate students. Any recommendations? Ill retweet/repost them as they come in. Mdash; Dave Richeson (@divbyzero) February 17, 2014. Not Only Truth But Supreme Beauty. Herp, Derp, Math Nerd. Eat, Sleep, Math. I&#8217...

superneo77.net superneo77.net

Machine Learning | neo4i

https://superneo77.net/category/machine-learning

Intelligence (AI), CSE, Mathematics, Statistics, Machine Learning, Natural Language Processing, Neural Network, Pattern Recognition, Data Science, MOOC. Category Archives: Machine Learning. Statement of accomplishment for Coursera Machine Learning class. Anyway, I’m personally proud of what I’ve done for the last couple months. And deep appreciation to Andrew Ng for this encouraging class. Statement of accomplishment: Coursera ml 2014. This entry was posted in Machine Learning. October 1, 2014. I think I...

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Computer vision for dummies - A blog about intelligent algorithms, machine learning, computer vision, datamining and more.

Computer vision for dummies. Machine Learning Books: A review. Feature extraction using PCA. In this article, we discuss how Principal Component Analysis (PCA) works, and how it can be used as a dimensionality reduction technique for classification problems. At the end of this article, Matlab source code is provided for demonstration purposes. In an earlier article, we discussed the so called. May 16, 2014. A geometric interpretation of the covariance matrix. April 24, 2014. April 16, 2014. In this post,...

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