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Papers tagged with "Epr"
IMAGE CONTENT FROM SCANNED DOCUMENTS
As Large Quantity Of Document Images Is Getting Archived By The Digital Libraries, There Is A Need For An Efficient Search Strategies To Make Them Available As Per Users Information Need. For Their Retrieval, It Is Important To Recognize The...
A COMPARISON OF K-MEANS CLUSTERING AND SMART TWO LEVEL K-MEANS CLUSTERING ALGORITHM
Data Cleaning Perform In The Data Preprocessing And Web Usage Mining. The Work On Data Cleaning Of Web Server Logs Irrelevant Items And Useless Data Can Not Completely Removed And Overlapped Data Causes Difficulty During Page Ranking....
PROSPECTS AND CHALLENGES OF RURAL ENTREPRENEURSHIP IN UTTAR PRADESH
Rural Entrepreneurship Is Now Days A Major Opportunity For The People Who Aspire To Become Entrepreneur. Entrepreneurs Are Day Dreamers And Works Against All Odds To Achieve Success. There Are Many Examples Of Social Entrepreneurs Work...
IMPROVED TWO LEVEL K-MEANS CLUSTERING ALGORITHM TO GENERATE USER PATTERN CLUSTERING
Data Cleaning Perform In The Data Preprocessing And Web Usage Mining. The Work On Data Cleaning Of Web Server Logs Irrelevant Items And Useless Data Can Not Completely Removed And Overlapped Data Causes Difficulty During Page Ranking. P...
SYSTAMATIC TUMOR DISEAS DETECTION USING TWO-STEP PROCEDURE IN WEIGHTED MR IMAGES
The Permanent Magnet Resonance Imaging Is A Regular Modality Used In Medicine For Rain Diagnosis And Treatment. It Offers The Advantage As A Noninvasive Strategy That Permits The Analysis Of Brain Tissues. The Early Detection Of Tumor...
HIGH-RESOLUTION FACE VERIFICATION USING PORE-SCALE FACIAL FEATURES
Pose-invariant Face-verification Method, Which Is Robust To Alignment Errors, Using The HR Information Based On Pore-scale Facial Features. A New Key Point Descriptor, Namely, Pore-Principal Component Analysis (PCA)- Scale Invariant Fe...
WEB DOCUMENT CLUSTERING USING FUZZY CLUSTERING : AN APPROACH FOR IMPROVING DOCUMENT INSPECTION
Document Clustering Is Becoming Vital For Obtaining Good Results Using Unsupervised Learning Methods The Approaches Such As Extractions And Clustering Are Being Increasingly Used To Improve The Document Clustering Techniques. These Appr...
SENTIMENT ANALYSIS OF TWITTER DATA USING HADOOP
Twitter Is Most Widely Used For Displaying Various Opinion Of People, Making It A Valuable Platform For Tracking And Analyzing Public Sentiment. Previous Research Mainly Focused On Modeling And Tracking Public Sentiment. In This Work, W...
IMPLEMENTED TWO LEVEL K-MEANS CLUSTERING ALGORITHM TO IMPROVE QUALITY IN USER PATTERN MINING
Data Cleaning Perform In The Data Preprocessing And Web Usage Mining. The Work On Data Cleaning Of Web Server Logs Irrelevant Items And Useless Data Can Not Completely Removed And Overlapped Data Causes Difficulty During Page Ranking. S...
QUATERNION MATRIX APPROACH FOR COLOR IMAGE WITH VECTOR SPARSE REPRESENTATION
Conventional Sparse Image Models Treat Image Pixel As A Scalar, Which Represents Color Channels Separately Or Concatenate Color Channels As Indefinite Image. In This Paper, We Propose A Vector Sparse Representation Model For Color Image...
A NOVEL APPROACH TO PARTIAL FACE RECOGNITION: MKD-SRC
Face Recognition Is Defined As A Methodology To Check Whether The Captured Image Or Input Image Is Exactly Similar To The Predefined Images Present In The Dataset. Day By Day There Is Arapid Enhancement In The Field Of Face Recognition....
AN APPROACH TO MULTICLASS TEXT CLASSIFICATION
Text Categorization Is The Task Of Arranging A Set Of Documents Into Preordained Categories. This Has Several Applications Including Spam Filtering, Email Filtering, Authorship Attribution, Content Classification And News Monitoring Etc...
Devanagari OCR: Issues and Analysis of Newspaper digitization
OCR Software Attempts To Replicate The Combined Functions Of The Human Eye And Brain, Which Is Why It Is Referred To As Artificial Intelligence Software. A Human Can Quickly And Easily Recognize Text Of Varying Fonts And Of Various Prin...
A New Approach for Rectifying Erroneous Data in Web Usage Mining using Preprocessing
Web Mining Is One Of The Technique Of Data Mining. Its Applying To Determine And Collect The Data From Different Web Sites. Web Usage Mining (WUM) Pre-processing Involving To The Process Of Automatic Detection In Addition To Analysis Of...