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4
votes
1answer
54 views

Machine Learning: Identify Patterns in Time-Series Data

I work in renewable energy. My company gathers a lot of data from equipment. This typically includes process data (such as transformer temperature, line voltages, currents, etc.) and discrete alarms (...
0
votes
0answers
19 views

Pattern recognition of timeseries data with user-defined patterns [on hold]

As a part of a research paper, our team wants to create a data-visualization tool that allows users to select patterns on a timeseries data and categorize it (label it). Once labeled, if the system ...
0
votes
0answers
15 views

Finding patterns in data over time

My problem domain is: I have a large number of bins numbered from 0 - X. Each bin has a size of 1. Each bin can either be empty or full. They all start out empty. If a bin is full, it can be ...
3
votes
2answers
47 views

Which algorithm for counting the occurrences of a certain pattern (spots) in an image?

The Problem : Finding the number of occurrences of a certain pattern (or shape) in an image. In my example, the problem is about finding the number of spots (in variety of sizes) in an image. See ...
1
vote
0answers
11 views

What is the term for the object to be identified in a pattern recognition problem?

What is the term for the object to be identified in a pattern recognition problem? So, for example, if one were matching a glyph expected to be an alphabetic letter to a set of templates, what is the ...
0
votes
1answer
20 views

Using Taylor series in 1D Grayscale Image

Could someone point me in the direction of how to solve this? I = [I1, . . . , In] is a 1D grayscale image and D = [D1, . . . , Dn] represents the second derivative of I. I am given the four pixel ...
2
votes
1answer
38 views

Normalized measure from dynamic time warping

I am trying to find the similarity between two time series, but not in terms of distance, in something more sensible such as percentage of similarity. In other words I need something that shows the ...
6
votes
2answers
84 views

Partial polygon matching

I am looking for fast procedures for polygon matching, i.e. checking polygon similarity under different transforms translation only, translation + rotation, translation + scaling, translation + ...
1
vote
1answer
44 views

How to identify labels in unsupervised learning?

Let's say I am working on handwritten digit recognition (0 to 9). I know for instance that if I use clustering then I need to look for 10 clusters. But once I have the 10 clusters,how do I identify ...
1
vote
1answer
71 views

Bit-parallelism and NFA simulation

In several papers I have read that Bit-parallel pattern matching is an NFA-simulation. My questions are: 1- Is it true in general? Or, is there any restrictions? 2- As any regular expression can be ...
4
votes
3answers
134 views

How are Neural Networks made so general?

After reading this blog about Deep Neural Networks learning about selfies I'm struck by how generic the network in question is. In short: I'm thinking of trying to write something vaguely similar for ...
3
votes
1answer
46 views

Multi object image segmentation methods

I want to survey the state-of-the-art in image segmentation. Is there a paper on how to segment multiple objects in an image? The segmentation papers I read, normally identify one of the many objects ...
2
votes
0answers
33 views

Difference b/w a drawn 2d path and a sample

Background: I'm working on an application which is supposed to teach users how to write Japanese kanji. Each kanji is represented as an array of strokes. Each stroke is an array of 2d points. Strokes ...
4
votes
0answers
81 views

What is the simplest written language to work on in handwriting recognition?

Handwriting recognition is an important but very complicated domain of Computer Sciences. Computers nowadays do a quite fair job even if there is room for improvement in the future. I am wondering if ...
1
vote
1answer
225 views

How do I detect and rotate a square?

I have recently written code for detecting path colors in a 2D grid and printing the corresponding path costs and it works fine for me. Here's my code; I am currently new to OpenCV and know only C++ (...
-1
votes
1answer
92 views

How to identify and find navels from human pics

I have a specific question and not sure what tools I can use to finish my projects. I know this may has been well solved, but I am quite new to the image recognition and detection area and don't know ...
1
vote
2answers
272 views

Machine learning algorithm(s) for recognizing simple graph patterns

I generate some simple graphs based on usage stats of a website, and they may look like these: I call the 'pattern' on the left 'convergence', and the 'pattern' on the right 'divergence'. The ...
4
votes
0answers
157 views

some kernel and greater margin, how this occures?

I read following notes, and couldn't get it. any idea or hint would highly appreciated. a SVM classifier using a second order polynomial kernel. The first polynomial kernel maps each input data x to ...
3
votes
1answer
98 views

Kernel Perceptron vs Polynomial Perceptron

I was looking at Support Vector machines (SVM) kernels. Looking at Polynomial Kernel and Kernel Perceptron I was curious how they differ? Work Done Polynomial Kernel: $d_{k+1}(x)=d_{k}(\bar{x})+\...
4
votes
1answer
98 views

Research work on computational models for a “specific” person's behaviors

Is there active research work on creating computational models of a "specific" person's behaviors (general behaviors, emotions, actions...)? What are some references for such research? I tried google ...
4
votes
1answer
103 views

How to identify periodic pattern recognition

I'm dealing with a time series that consists of one year's data of the result of some measurement. The time index is in second and the result of the measurement is a non-negative integer. Interestly, ...
0
votes
1answer
295 views

FM-index - print all patterns

How is it possible to print all patterns, of length k, contained in a string using FM-index and burrows-wheeler transform? PROBLEM DETAIL: I think it's better to leave more details regarding my ...
0
votes
0answers
65 views

Learn feature value range for a classification

Which domain does this problem belong to? Given a set of products some are classified as cheap and some not. The task is to determine the price range (probabilistic) for cheap products. Supervised ...
0
votes
1answer
95 views

Find pixel mapping matrix with minimum iterations

The Situation I am an electronics engineer and on a volunteer team that have built a prototype eye that has 200*200 sensors that are mapped to the optic nerve, the connection to the optic nerve is ...
0
votes
0answers
61 views

Ways of object recognition in computer vision

In the field of computer vision, we talk a lot about this process of feature detection-description-matching as a way of recognizing objects. But on the other hand, there's also talks about object ...
5
votes
0answers
134 views

Understanding the Baeza-Yates Régnier algorithm (multiple string matching, extended from Boyer-Moore)

First of all, excuse me if I write a lot, I tried to summarize my research so that everyone can understand. R. Baeza-Yates and M. Regnier published in 1993 a new algorithm for searching a two ...
3
votes
2answers
300 views

Extracting features for texture classification

I m a beginner in the field of pattern recognition and computer vision. I m working on a project right now to classify t-shirt patterns into three categories i.e. solids, stripes and checks. I have ...
-1
votes
1answer
64 views

Training Error & Convergence to True Error

I Take some online class for Machine Learning. one of teacher say this sentence. if we have m data points, the training error converges to the true error as m → ∞. i thought, this sentence not ...
0
votes
1answer
181 views

VC Dimension Calculation for Intervals

As i See in ML Course a VC dimension calculation is very theoretical. What is the VC-dimension of intervals in R? The target function is specifieed by an interval, and labels any example positive ...
1
vote
3answers
281 views

Over-fitting Always Occurs?

i get stuck in one sentence in machine learning. i read tom Mitchel book on ML, and some other materials. if we have small training set, always over-fit can occurs? or is likely to occurs? i read ...
-1
votes
1answer
51 views

Policy function π in Reinforcement learning unclear

I have one question about policy function in Reinforcement learning. in fact this function indicates which action should be done in each state? Or this function indicate for get the ...
-2
votes
1answer
99 views

Neural Network Design Challenge

i'm studying for PHD Entrance Exam on Stanford. one of previous material exam designed very challenging. i want to design a NN for classifying following 2-class problem. 1) output should be -1 or ...
1
vote
1answer
143 views

What is the difference between symbol recognition, classification and identification?

I've just wondered if there is a difference between symbol recognition, classification and identification. What would you use when you have a hand-written symbol and you want to get the LaTeX code ...
2
votes
0answers
85 views

How can you use HMMs and ANNs for on-line handwriting recognition?

On-line handwriting recognition is the task of converting a series of $(x(t),y(t))$ coordinates to symbols and words. In contrast to off-line handwriting recognition, where you only have a bitmap of ...
2
votes
1answer
203 views

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
46 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 ...
3
votes
2answers
145 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
198 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
44 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 ...
4
votes
2answers
829 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
42 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
279 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 ...
1
vote
1answer
112 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
159 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
76 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 ...
3
votes
3answers
241 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
156 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
6k 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 ...
4
votes
2answers
535 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
133 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 ...