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2
votes
1answer
67 views
+50

Method to recognize abstract objects such as hand-drawn objects?

My research is in the area of Document Image Analysis. To be specific, the topic of my thesis is to automatically recognize and index characters in a set of hand-drawn objects, e.g. given a volume of ...
0
votes
0answers
41 views

What level of maths do I need for artificial intelligence? [duplicate]

I want to learn maths for artificial intelligence. I heard that main areas of mathematics for AI are Multivariable Calculus, Linear Algebra, Probability and Statistics and Discrete Mathematics. But ...
0
votes
0answers
12 views

Supervised learning based on phase space representation

Phase space learning Paper1 and Paper2 in neural network represents the input in higher dimension in auto associative learning. So, the network functions as an auto-associative memory where dynamical ...
2
votes
1answer
21 views

How do I apply patch sized features to larger images?

I've been trying to teach myself some machine learning, and I wanted to ask what seems a simple question, but I've not been able to find any resources that explain the next step. Let's say I am doing ...
2
votes
0answers
37 views

Methods for silhouette feature extraction

Let's suppose I have an image of a person and its corresponding background. Using OpenCV I can relatively easily get a silhouette of the person from the image. I am doing a project on human ...
0
votes
1answer
32 views

Are Algebraic types just the combination of case classes and pattern matching?

On this page describing the precursor to the Scala language - the pizza language - they refer to it having both case classes and pattern matching - and then imply that these taken together provide ...
2
votes
2answers
95 views

Object recognition - given an image, does it contain a particular 3D object of interest?

I have in mind a particular 3D object. Given an image taken by a camera, I want to check whether that image contains an instance of my object. For instance, let's say that the object is a bathroom ...
1
vote
1answer
35 views

Pattern bonding problem

Let $\Sigma = {1,2,3,4}$ . We say that symbol $\sigma $ bonds with symbol $\tau$ if $\sigma = \tau$ of $\sigma = \tau +1$ for even $\sigma$ and $\sigma = \tau -1$ for odd $\sigma$ . In other ...
5
votes
1answer
116 views

Automated lip-reading: inferring what someone is saying, based upon video of them speaking

Some humans can lip-read fairly well: by watching someone who is speaking, they can tell what the speaker is saying (even without hearing the speech). Has there been any work on building computer ...
0
votes
1answer
89 views

How does facial recognition work?

I'm interested in learning about how facial recognition works. I'm especially interested in the algorithms or approach that is used. What are the leading methods for facial recognition? Is there a ...
0
votes
1answer
73 views

Is developing an OCR considered a research project? [closed]

Is developing an optical character recognition system for an alphabet which has no previous ocr considered a reputable conference or journal worthy research project, given the fact that there are so ...
-1
votes
1answer
51 views

How to train a clustering system based on multiple initial clustering results

I got a very hard automatically clustering problem with some training data (500 samples, each with roughly 5-50 classes and 10000-20000 data points in total). What I need to do is to cluster an input ...
2
votes
3answers
165 views

Handwritten character recognition as characters are being traced

I'm looking for an OCR technique (PCA or SVM or anything else) in a peculiar setting. I want to detect the motion of the finger so that if someone writes something in front of the camera in the air, I ...
2
votes
2answers
113 views

Unsupervised anomaly detection: assigning the clusters to normal and anomaly

Having a unsupervised algorithm done on a dataset (e.g. K-means), how can I determine which cluster is normal and which is anomalous (for 30 clusters, for example)? If the dataset contains normal ...
6
votes
3answers
2k views

Shannon's entropy for an image

Shannon's entropy [plog(1/p)] for an image is a probabilistic method for comparing two pixels or a group of pixels.Suppose an image with a matrix of 3x3 has pixel intensity values ...
3
votes
2answers
230 views

Difference between HSI and YCbCr for pattern recognition by color

I am doing a project on face detection in C#. I want to find the skin area by using skin color segmentation. For that purpose, I have to extract the skin area. I know I can use HSI or YCbCr, but what ...
2
votes
2answers
107 views

Speech vs Music classification

I want to determine which parts of an audio file contain speech respectively music. I hope someone has a made something like this or can tell me where to start. Can you please suggest some method or ...
2
votes
1answer
110 views

Pattern classification: what goes into the sample?

I am trying to compare the performance of a classification result with Bayes classifier, K-NN, Piece wise component analysis (PCA). I have doubts regarding the following (please excuse my lack of ...
7
votes
1answer
136 views

Issue in comparing classifiers for pattern recognition

I have designed a classifier M which recognizes gestures and classifies it under any category always. A gesture is classified based on the hamming distance between the sample time series y and the ...
10
votes
1answer
80 views

Methods to evaluate a system of written rules

I was trying to come up with a system that would evaluate bylaws for an organization as to determine their underlying logic. I think a first-order predicate system would work for representing the ...