Search Results - (( basic classification problem algorithm ) OR ( code classification issues algorithm ))
Search alternatives:
- classification problem »
- classification issues »
- basic classification »
- code classification »
- problem algorithm »
- issues algorithm »
-
1
Text classification using Naive Bayes: An experiment to conference paper
Published 2005“…The basic text classification technique in forum application has been discussed in Sainin (2005a) and Sainin (2005b).The paper explains about the use of the basic naïve Bayes algorithm to classify forum text me ssages into two classes namely clean and bad. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
-
3
Crow Search Freeman Chain Code (CS-FCC) feature extraction algorithm for handwritten character recognition
Published 2023“…With so many algorithms developed to improve classification accuracy, interest in feature extraction in Handwritten Character Recognition (HCR) has increased. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
4
-
5
-
6
-
7
Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection
Published 2019“…Those problems lend themselves to the realm of optimization. …”
Get full text
Get full text
Thesis -
8
Automatic multilevel medical image annotation and retrieval
Published 2008“…To address third issue, automatic multilevel code generation is proposed for image classification and multilevel image annotation. …”
Get full text
Get full text
Article -
9
Genetic algorithm fuzzy logic for medical knowledge-based pattern classification
Published 2023Article -
10
Phishing image spam classification research trends: Survey and open issues
Published 2020Get full text
Get full text
Article -
11
Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021
Published 2022“…The complex nature of the brain tissue makes the problem of locating, segmenting, and ultimately classifying Magnetic Resonance (MR) images a complex problem. …”
Get full text
Get full text
Get full text
Article -
12
Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…This reserarch adapted a methodology of computer vision and algorithms that exploit image segmentation, feature extraction and fuzzy classification to guide the research activities. …”
Get full text
Get full text
Thesis -
13
-
14
Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…Bat algorithm is chosen for the development of the prototype for segmentation and classification purpose. …”
Get full text
Get full text
Thesis -
15
Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The two approaches were applied to image pattern recognition problems. The RSNN was applied to automatic target recognition problem. …”
Get full text
Get full text
Thesis -
16
A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
Published 2019“…The multilayered version of CSC(ML-CSC) is shown to be connected to forward pass of CNNs and dictionary learning and sparse coding algorithms of this model are analyzed for solving classification and inverse problems in image processing. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
17
Improving hand written digit recognition using hybrid feature selection algorithm
Published 2022“…While mRMR was capable of identifying a subset of features that were highly relevant to the targeted classification variable, it still carry the weakness of capturing redundant features along with the algorithm. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
18
-
19
Deep learning based emotion recognition for image and video signals: matlab implementation
Published 2021“…This book is carried out to develop an image and video-based emotion recognition model using CNN for automatic feature extraction and classification with Matlab sample codes. Five emotions are considered for recognition: angry, happy, neutral, sad, and surprise, compared to previous algorithms. …”
Get full text
Get full text
Book -
20
