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9

I'm not too keen on the whole concept of formal recognition. I suppose you could go out and get a certification from some recognized certification provider but those sorts of documents are not always an indicator of actual competence. From what I gather they are often in the Microsoft case a necessary evil in order for the company to achieve Microsoft ...


6

Studies? Companies have been doing this for years, where possible. If you ever pay attention to the ads you're shown on Facebook, it should be immediately obvious that they are very much gender-targeted. Of course, in that environment you don't have to do any work to find out the user's gender, since they've told Facebook. Google adwords also allows gender ...


5

Check dimensions. If different => images are not the same. Check formats. If the same => Perform precise comparison, pixel by pixel. If different formats do this: Do not compare RGB (red,green,blue). Compare Brightness as half the weight and compare color/hue as the other half (or 2/3rds vs 1/3rd). Calculate the difference in values and depending on ...


5

Perceptual hashes may be the answer: http://www.phash.org/ A perceptual hash is a fingerprint of a multimedia file derived from various features from its content. Unlike cryptographic hash functions which rely on the avalanche effect of small changes in input leading to drastic changes in the output, perceptual hashes are "close" to one another if the ...


4

I don't have any worthy projects to display because I have a bad habit of stopping them before they're presentable in pursuit of newer, more exciting projects; But if you asked me to sit down and solve a problem I could do it easy. At least in my opinion, the point of personal projects was never to solve a problem. I never wrote a rendering system ...


4

I began as self-taught, but am now pursuing an informatics degree. I think that's essential, as programmers who are both self-taught and have formal education usually become better that people who've only gone one way or the other. I think your most immediate concern should be to learn how to finish projects properly. Get a github account and start writing ...


4

Yes, there are, and no, they don't work very well. Deducing information about the author from a text is sub-discipline of natural language processing - most NLP applications are about extracting information about the content of a text rather than the author, but the goals, methods and state of the art are actually rather similar (currently this favors ...


3

When I was screening a bunch of images for dupes some years ago I found that reducing everything to 8x8 thumbnails and then computing a similarity score based on the square of the distance (treating the three colors separately) between the thumbnails worked pretty well. Note that you can hold a LOT of 8x8 thumbnails in memory. Virtually all dupes scored ...


2

Well i don't believe the Arduino has the horse power to do this. its operating at 16Mhz An Arduino has about 32K of memory. Even 20 words sampled in Mp3 (smaller then wav) wouldnt fit in it, despite its only your own voice. The rasberi pi might do the trick, its operating at 700Mhz depending on the version it might have 512MB memory. That's still not a lot ...


2

I'd say Open-Source; as in, produce awesome OS work and let the democratic process work. If you're good and we download your code, hey that's proof in itself! But back to the title.. I'd argue that everyone worth their salt is mostly self-taught anyway. A two-year degree though, is pretty attainable. At least get that. Then Certs afterward.


2

A LONG LONG TIME AGO, I noticed a peculiarity on a section of SOME ESTABLISHMENT's website where all of the ESTABLISHMENT's services are centralized. Upon further inspection, it was a weakness in the site's authentication. For the record, ANY LIKENESS TO REAL EVENTS ARE PURELY COINCIDENTAL. This lead me to investigate what of THE ...


2

It looks like a tough subject. Finding a suitable feature space to make your problem solvable is probably going to take some hard work and experimenting. Anyway, challenges are always good! :) If you provide your background it would help a lot answering your question. Assuming you're new to the subject: Take a look at libsvm, read the papers, run the ...


2

Convert the images to another color space like HSV and than just check the S component. S stands for saturation and the saturation should be (nearly) 0 for all grayscale images. Here is the documentation from ImageMagick: http://www.imagemagick.org/script/color.php


2

One way of dealing with this problem is to have a finite state machine with at least three states: not detecting anything detection phase gesture dectected Then you need to carefully design conditions for each state modification (ie going from detection phase back to "not detecting anything" in case of failure) an run them at each frame of your video ...


1

You're looking for Computer Vision: ...a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities ...


1

I don't have any worthy projects to display because I have a bad habit of stopping them before they're presentable in pursuit of newer, more exciting projects; But if you asked me to sit down and solve a problem I could do it easy. Saying that you could do something and actually doing it are two completely different things, and I bet you're very ...


1

"It would be nice to have something I can actually put on my college application!" No reputable college will give you any recognition for independent studies before you enroll, unless you take their placement examination or one of a small set of formal exams (e.g., the Advanced Placement Computer Science exam). If you can pass those, you can usually get an ...


1

Your problem is setting the margin of error too strictly for classifying an image as black and white. The trick is to not go too far the other way and falsely classify color images as black and white. Do some research on Bayes classification. Basically, you do the classification manually for a sample of your images. That will give you the total ...


1

Maybe you should write some code which scans the images for likeness. You could convert all the pics to ARGB format and compare them. (in memory) A possible approach could be this way: Divide the pictures in zones. Scan the zones' average color and/or brightness to compare two pictures for likeness. If more than say, 90% of the zones match, you chose one ...


1

Pattern Recognition & Machine Learning by Bishop is an excellent text for post graduate level. There is a sample chapter here. I'd really recommend you take a look at the sample and try and get hold of the book from a university library, or obviously buy it if you have the funds. Bishop is a leading expert in the probabilistic/Bayesian approach, so I ...


1

There are a few free sources on machine learning in the web, for example a book about a java based program: Ian H. Witten, Eibe Frank: Data Mining: Practical Machine Learning Tools and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems). And their website. There is also a Video course on machine learning by the Stanford ...


1

If I understand right, you are trying to classify an image based on properties that will be identified by a machine. This is not much different than an optical character recognition program. Most OCR applications use Neural Networks that are trained to convert images to text. You may want to look into how Neural Netwoks operate and see if it can be ...


1

Why don't you post your article, leave it as is, and add a section identifying that security holes will happen and it's the quick thinking and quick reactions of organizations like this school that are required in the software industry to keep security standards up to date and information safe. +1 career +1 school rep



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