All the examples I have seen of neural networks are for a fixed set of inputs which works good for images and fixed length data. How do you deal with variable length data such sentances, queries or source code. Is there a way to encode variable length data into fixed length inputs and still get the generalization properties of neural n...
Hi guyz, I need some help with a algorithm I'm working with for my college course. The idea is use an artificial neural network to read a electrocardiogram and try to recognize some disturbs in the waves, that's ok, I've the neural network and I can test it, no problem, but I'd like to give the function to the user to open a eletrocardi...
I am studying in the area of image and video processing - specifically in the field of pattern recognition (objects, people etc.). I wish to use a programming language to apply the transformation to images and video (more importantly video). I am thinking of using C++ in Xcode to do this. The algorithms I wanna build I want to take data ...
I am looking at pattern recognition in images and video and have thought that C++ is the way to go (for high performance/real-time applications). I want to use the OpenCV libraries in Xcode when I build a C++ application (command-line tool) I am running Xcode 3.2 and have just followed the steps at http://opencv.willowgarage.com/wiki/Ma...
This is to extend the question: Tools to help reverse engineer binary file formats Are there any tools that are publicly available that uses clustering and/or data mining techniques to reverse engineer file formats? For example, with the tool you would have a collection of files that have the same format and the output of the tool wou...
I understand the way how the neural net is working, but if I want it to use for image processing, actually character recognition, I can't understand, how can I input the image data to the neural net, if I can have a very big image of an A letter! May be I should try to get some info from the image, some specifications of the image, and ...
I want to use Gaussian mixture models for data clustering ( using an expectation maximization (EM) algorithm, which assigns posterior probabilities to each component density with respect to each observation ) . Is there a c++ library which has Gaussian mixture models implemented alongwith sample dataset and examples? ...
this is a picture of a dog's contour and a horse's contour how to make computer know it is a horse or a dog or a person. ...
Hi, I would like to know what algorithm is used to obtain an image and get the objects present in the image and process (give information about) it. And also, how is this done? Please do help me out! :) Thanks in advance. - Karthik.K ...
Hello all! I'm trying to read a image from a electrocardiography and detect each one of the main waves in it (P wave, QRS complex and T wave). Now I can read the image and get a vector like (4.2; 4.4; 4.9; 4.7; ...) representative of the values in the electrocardiography, what is half of the problem. I need a algorithm that can walk thr...
Does anyone know of a good starting point to look into pattern and/or photo recognition development for the iPhone? In searching for it, I can only find examples of existing applications, but I would like to start developing one myself. ...
A lot univariate decision tree learner implementations (C4.5 etc) do exist, but does actually someone know multivariate decision tree learner algorithms? ...
Anybody has an idea what OpenCV Error: Assertion failed _img.cols == winSize.width means? I'm not familar with the new implemenation of the haar training (=traincascade) nor could I find any documentation in the wiki. Thanks, Josef ...
I made patterns: images with the "A" letter of different sizes (from 12 to 72: 12, 14, .., 72) And I tested the method of pattern matching and it gave a good results. One way to select text regions from image is to run that algorithm for all small and big letters and digits of different sizes. And fonts! I don't like it. Instead of it I ...
i'm working on a project and i have a subset of user's key-stroke time data.This means that the user makes n attempts and i will use these recorded attempt time data in various kinds of classification algorithms for future user attempts to verify that the login process is done by the user or some another person. (Simply i can say that th...
It's part of the process of OCR,which is : How to segment the sentences into words,and then characters? What's the candidate algorithm for this task? ...
Do you have some advices or reading how to engineer features for a machine learning task? Good input features are important even for a neural network. The chosen features will affect the needed number of hidden neurons and the needed number of training examples. The following is an example problem, but I'm interested in feature engineer...
Hi all, I am very new in image processing and pattern recognition. I am trying to implement SIFT algorithm where I am able to create the DoG pyramid and identify the local maximum or minimum in each octave. What I don't understand is that how to use these local max/min in each octave. How do I combine these points? My question may sound...
Possible Duplicate: Matching a rotated bitmap to a collage image Given an image with a large dimension (> 1.000 x 1.000). What is a good approach to find a small image (e.g. 50 x 50) in the big one? The smaller image can be rotated and differ in the size, but only with a 1:1 ratio. It's not related to any programming langua...
Hello everyone, For a video file (e.g. wmv file or other format), I need to generate abstract for the video. The abstract is expected to be in text format. Any mature tools or algorithms? Better (not a must) if open source tools/SDKs so that I can modify for my special needs. thanks in advance, George ...