Wealth and Poverty live with each other in an absolute consent ! No one wants to be poor, but ‘most’ of them believe that it’s just their FATE !! They do believe it and this is the key to understand why they live in peace. Though, the cultural impacts due to globalization has affected them, which is completely normal, some cultural approaches like believe in concepts (like “Dharma” , “Karma”, etc.) still attend in their mindset .
In my opinion, If you don’t know
On my behalf, briefly, rejecting Buddha from
Anyway , to conclude the argument, here are some pics which I took over there :
Mumbai's Airport in a raining day:
This is an Elegant and timely attempt about protecting web from exclusive behaviors of some just-profit-seeking companies !!!
I have recently received some emails from some newbies which asked me how to become an expert in Computer Vision(CV). As a matter of fact, I don’t know myself as a CV expert; hence, maybe I can’t show you the door (remember the Morpheus in the Matrix film :) .But as a self-taught software developer who does love this major, I have some proposals for you. Here it comes:
First : Start by the procedure that Robin Hewitt suggests: Getting started in computer vision. She is an independent software developer who is a prominent expert in relevant stuff. Do whatever she proposes !!!!
Second : Become familiar with Matlab and specially C/C++. I can argue more than one hour that you need both C and C++. I do love C , and I can extend CV algorithms with it; but in the industry you do need C++. In the real world applications , you need software engineering approaches beside of algorithms and therefore, you MUST develop softwares in OOP mode. You HAVE to learn it. It’s Compulsory !!
Third : Learn to develop softwares with Python. I don’t want to start to describe it. Just google it….. You will be a better hacker when you use it to develop raw algorithms.
Forth : Start to study Math every day. It’s like an exercise for your brain :) I’m not kidding !!
Fifth : “ Concentrate and NEVER give up!" Take this as a fundamental rule….
Cheers
UPDATE: You can use the python binding for OpenCV too .
Just " from opencv import *" and have a lot of FUN :)
At last, I came back from that hell :). What a bad place was over there…. There are lots of work I must get them done !!!
Bad luck... I'm in a working mission in a very bad natural condition. I had to go to a territory last week which has no water at all ! I'm near to the YAZD city, an ancient city that is near the hottest area in the planet Earth (Loot desert, or Kavir loot in persian)!!!!
def fibonacci(n) :
if n==0 or n==1 :
return 1
else :
return fibonacci(n-1) + fibonacci(n-2)
Since I'm implementing a project in "Face Detection", I have to use advanced methods for "Feature Extraction". I have designed a MLP network for training, but I used raw pictures as an input layer… As maybe you know, it's better idea to decrease the input dimension by using Feature Extraction/Selection approaches.
There is some approaches like :"non Linear PCA" and "Kernel Methods".
I want to use Kernel Methods. I think it's more applicable and most of recent papers that I have read were about this major! However , It's maybe because of my guide attitude (Dr.Araabi) who have focused on it more :) I don't know. But because my learning procedure is "Learning by Doing" I will implement both of them. If you have any prior experience, please email me and let me know…
Cheers :)
