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Title: maths phobia causes and remedies essay 800 words
Page Link: maths phobia causes and remedies essay 800 words -
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Created at: Tuesday 13th of November 2012 07:22:32 PM
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Title: the world without mathematics in 800 words
Page Link: the world without mathematics in 800 words -
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Title: a write up for image processing in 100 words
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Title: the world without mathematics in 800 words
Page Link: the world without mathematics in 800 words -
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Title: a web search engine based approach to measure semantic similarity between words source code for free
Page Link: a web search engine based approach to measure semantic similarity between words source code for free -
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Title: Program in LEX to count number of Characters Words Lines
Page Link: Program in LEX to count number of Characters Words Lines -
Posted By: seminar class
Created at: Saturday 07th of May 2011 03:21:12 PM
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Objective
Program in “LEX” to count number of Characters, Words, Lines.

%{
int nchar=0,nword=0,nline=0;
#include
%}
%%
\n {nline++;nchar++;}
+ {nword++;nchar+=yyleng;}
. {nchar++;}
%%
int main()
{
yylex();
printf(%d%d%d,nchar,nword,nline);
}
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Title: dumb charade words in computer related
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Title: sanskrit words related to women empowerment
Page Link: sanskrit words related to women empowerment -
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Created at: Friday 19th of April 2013 06:58:28 PM
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Title: Krawtchouk Moment Feature Extraction for Neural Arabic Handwritten Words Recognition
Page Link: Krawtchouk Moment Feature Extraction for Neural Arabic Handwritten Words Recognition -
Posted By: seminar class
Created at: Monday 09th of May 2011 03:23:40 PM
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Summary
This paper proposes a new approach investigating the applicationof moment method to evaluate a set of candidate features and toselect an informative subset to be used as input data for a neuralnetwork classifier. The first step (pre-processing) of proposedmethod takes into account the discriminative properties ofinvariant krawtchouk moments. The second step (recognition) isachieved by using multilayer feedforward neural network(MFNN) as a classifier with the stochastic back propagation as alearning algorithm. Finite vectors obt ....etc

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