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Welcome to my personal Website!
Courses
Pattern Recognition
Introduction
Dataset
Model
Cost_Function
Learning_Rule
Visualization
Clustering Concept
Clustering
k-means and fuzzy-c-means clustering
Complementary of FCM
Project Linkage clustering
Project
\( \epsilon \)
-insensitive Linkage
Project Title: Self-Organizing Feature Map (SOFM)
Regression
Linear Regression
Non-linear Regression: The starting point
Linearization
Kernel method
Project : Evaluation and Model Selection
Solution Method
Theoretical Aspects of Regression
Applications in Pattern Recognition
Classification
Support Vector Data Description (SVDD)
Support Vector Machine (SVM)
Fihser Classifier
Kernel Fisher Discriminant Analysis
Project Induction in Decision Trees
Bayes Estimation
kernel-based density estimation
Mean Shift Algorithm
Parametric Density Estimation
Gaussian Mixture Model
Machine Learning
Regression Review
Kernel Regression
Gaussian Process
Introduction of Feature Reduction
Principal Component Analysis
Autoencoders
Supplementary Documents
Eigen Value Decomposition
Twin SVM
Covariance
Circuit and Electronics
Introduction to Circuit and Electronics
Basic component
Voltage , Current
Basic Nodal and Mesh Analysis
R-C, R-L circuits
Diode
Diode Application
Bipolar junction transistor
Field Effect Transistor
Operational Amplifier
Signal Processing
Image Processing
Pattern Lab Production
Proposal PhD Develope
Students Projects
Author Information
Contact Me
About Me
Repository
Open issue
.ipynb
.pdf
Image Processing
Image Processing
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