Search Results - (( java segmentation using algorithm ) OR ( parallel classification tree algorithm ))
Search alternatives:
- parallel classification »
- classification tree »
- java segmentation »
- using algorithm »
- tree algorithm »
-
1
Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…This research algorithm demonstrated a very promising result with Support Vector Machines, this algorithm produces a 90% of accuracies whereas the decision tree algorithm gets 100% accuracies. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
2
-
3
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
4
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
Get full text
Get full text
Get full text
Book -
5
Robust partitioning and indexing for iris biometric database based on local features
Published 2018“…Further, the scalable K-means++ algorithm is used for partitioning and classification processes, and an efficient parallel technique that divides the features groups causing the formation of two b-trees based on index keys is applied for search and retrieval. …”
Get full text
Get full text
Get full text
Article -
6
Development of seven segment display recognition using TensorFlow on Raspberry Pi
Published 2022Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
7
Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…The accuracy for rules and classification resulted from the TIP method are compared with other methods such as Standard Integer Programming (SIP) and Decision Related Integer Programming (DRIP) from Rough Set, Genetic Algorithm (GA), Johnson reducer, HoltelR method, Multiple Regression (MR), Neural Network (NN), Induction of Decision Tree Algorithm (ID3) and Base Learning Algorithm (C4.5); all other classifiers that are mostly used in the classification tasks. …”
Get full text
Get full text
Thesis
