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#26 Re: Help Me ! » Bayes' Theorem » 2012-02-10 23:28:33
Isn't point A the initial point? The first one?
hmm yes .. right . ok point A is initial point. meant current location.
then what do you mean by this
" You would need to know what part of the graph you can place A and the number of horizontal and vertical pixels of that area. "
Do you meant by moving object area ? like my hand area ?
#27 Re: Help Me ! » Bayes' Theorem » 2012-02-10 23:23:36
You would need to know what part of the graph you can place A and the number of horizontal and vertical pixels of that area.
Do you mean that how much point A covered his distance and area ?
#28 Re: Help Me ! » Bayes' Theorem » 2012-02-10 23:15:55
Hi model;
I think we need more information to determine the pobability of point A. Do you have any more?
Hy no, I do't have any information.
but yes one thing. we could consider that 10 frames passed then object moved . I am also thinking what type of information do i need to get probability of point A.
#29 Re: Help Me ! » Bayes' Theorem » 2012-02-10 22:52:14
HY Bobbym ,
What about my question ?
#30 Re: Help Me ! » Bayes' Theorem » 2012-02-10 19:36:06
Hy I understood Bayes theorem and Bayesian network .
Let say my hand started motion at point A that initial position what would be the next position of my hand at point B?
like as shown in this image : http://imageshack.us/photo/my-images/213/10901168.png/
My question is how to know the probability of point A ?
#31 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 17:14:57
Hi I read out that link .
but please make it fast to complete this .
i want to use Bayes or Bayesian theorem for hand feature extraction.
#32 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 07:10:38
How can i use Bayes theorem for feature extraction . like recognizing a hand . ?
#33 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 03:00:27
Hi model;
also what is the difference between bayesian and Bayes theorem or filter ?
Are both not same ?That is difficult to explain, Bayes theorem is a mathematical formula. A Bayesian filter can be an algorithm that uses Bayes theorem. It can be much more complicated or not.
If this sounds tough right now it is because you are not yet familiar with the tools you need to understand it. It is like trying to build a house without knowing how to use a hammer or what a nail is. I can help you with the tools but it will take time.
Please read the page I gave you and then we can discuss it together.
hmm ok .
#34 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 01:28:29
oh yes Bayesian is relate to Kalman .
Can we please have some discussion on Bayesian filter ?
#35 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 01:20:46
also what is the difference between bayesian and Bayes theorem or filter ?
Are both not same ?
#36 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 01:19:19
oh thanks i would like to read it .
but i really want that math is fun site should write some use full practical application of Bayes theorem .
#37 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 01:02:56
Or please mention some useful application where Bayes' distribution is applicable .
#38 Help Me ! » understanding of Kalman filter » 2012-02-06 01:01:24
- model
- Replies: 0
Can some one please explain me Kalman filter ?
Expecting a good response from here ,.
#39 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 00:45:41
Hi model;
A Kalman filter is for tracking moving objects and is used in missile guidance sytems and GPS. It is a Markov chain and a whole lot more. Can you get more info out or your friend?
Well but let's play with Bayes' distribution on matrix.
Then latter i would like to move to Kalman filter . because i have to learn about Kalman but before that i wanna know that can Bayes' could help in tracking ?
#40 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 00:29:24
hmm well actually my friends told me to track moving object using kalman filter and kalman filter relate to Bayes's theorem that mean Bayes's theorem may be also help to talk moving objects .
So, actually i have to track moving objects. Can Bayes's theorem or distribution can help me with that ?
Please help me to understand it for tracking motion objects
#41 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-06 00:23:16
HY ,How can Binomial theorem or distribution help on binary image ?
let say i have an image like
1 0 1 1 1 1
0 0 1 1 1 1
0 0 1 1 1 1
0 0 0 0 0 0
0 0 0 0 0 0
1 1 0 0 0 0
1 1 1 1 1 1
How can binomial distribution help me on the above binary matrix ?
#42 Re: Help Me ! » conditional probability » 2012-02-05 19:39:49
Hy Bob,
I want to know any application of Bayes's theorem .
Could you please give me useful application . thanks
#43 Re: Help Me ! » understanding of SVM » 2012-02-04 23:49:17
Hi model;
I never even heard of them before you mentioned them.
They are pretty complicated because they require a quadratic programming problem that has to be solved by Lagrangian Multipliers.
thanks
#44 Help Me ! » finding the exponent of any variable in the given equation » 2012-02-04 20:11:35
- model
- Replies: 1
In this tutorial :
http://www.mathsisfun.com/algebra/binomial-theorem.html
how is he saying that exponent of x^3 is " (2x)345 " in (2x+4)8 ???
#45 Help Me ! » understanding of SVM » 2012-02-04 15:52:04
- model
- Replies: 3
Hy Every one,
Can any one please explain me SVM by considering any matrix values ?
Edited :
SVM mean support vector machine .
I have to use it to classify hand and face in binary image.
#46 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-04 15:49:39
then what is the use of simple combination nCr() = n! /r!(n-r)!
This counts the number of ways to choose or select something from a collection of objects. It is not a probability.
For instance we have 3 books, a math book, an english book and a history book.
M E H
In how many ways can I choose or select 2 books from that group of 3.
Ncr(3,2) = 3
If you count them manually
(M E)
(M H)
(E H)
that is 3 just like the Ncr said.Do not confuse the binomial distribution which is a probability with a binomial which is a count of things.
Oh i see . Thanks Sir : ) 
#47 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-01 23:56:38
Hy ,
I have another formula for binomial profitability that's
Pr(X= r) = nCr(p^r)q^(n-r) where n and p are binomial parameters and q = i-p .
This give real and right probability between 0 and 1 .
then what is the use of simple combination nCr() = n! /r!(n-r)!
#48 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-01 23:29:15
That what I am saying, a probability is never greater than 1.
P(of something happening) = 0 this means it can never happen. Example: I roll a dice and it comes up 7. Can not happen P = 0
P(of something happening) = 1 this means it always happens. Example: I flip a coin and it comes either heads or tails. Happens all the time P = 1.
All other probabilities are between 0 and 1.
Well from the above discussion,
I think, Probability which is a fraction between 0 and 1 .
Probability will happen only if data set have whole numbers except 0 or 1 .
if data set have 1 then probability will be 0 .
like in the above case , i got 2.2 . here probability is 0.
but if i have data set like 2 , 3 ,2 ,5 , 5 then i get probability = 1 .
#49 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-01 23:23:29
Hi;
A probability is always a ratio. It can be defined as
which means successes over successes + failures. In other words it is a fraction.
A binomial like Ncr(3,2) is a whole number. It is always a whole number. It counts something. So it is never enough to be a probability except when it equals 1 or 0.
#50 Re: Help Me ! » difference between pdf and accumulative frequency ? » 2012-02-01 23:19:39
Hi;
A probability is always a ratio. It can be defined as
which means successes over successes + failures. In other words it is a fraction.
A binomial like Ncr(3,2) is a whole number. It is always a whole number. It counts something. So it is never enough to be a probability except when it equals 1.
Hy,
but our probability is > 1 that's 2.2 . Although its in fraction but its > 1 .