Search Results - (( developing function learning algorithm ) OR ( code application matching algorithm ))
Search alternatives:
- application matching »
- developing function »
- learning algorithm »
- function learning »
- code application »
-
1
-
2
New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…As one of its techniques, the Block Matching Algorithm or BMA is widely employed in majority of well-known video codes due to its simplicity and high compression efficiency. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
3
-
4
Pattern matching algorithm for artificial to natural DNA codes of a dementia brain
Published 2008Get full text
Get full text
Get full text
Proceeding Paper -
5
Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Motion estimation in video compression process is computationally intensive for video encoder that involve a large percentage of processing time. Block Matching Algorithm (BMA) is a technique used to minimize the computational complexity of motion estimation in video coding application. …”
Get full text
Get full text
Thesis -
6
-
7
A new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategy
Published 2023Conference Paper -
8
A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…This study aims to develop an algorithm for the AOI system to segment and detect surface defects, requiring low processing power and a small number of learning dataset with labelling error resistance. …”
Get full text
Get full text
Thesis -
9
-
10
Codebook excited linear predictive coding
Published 2011Get full text
Get full text
Get full text
Book Chapter -
11
Novel approach to automated fingerprint recognition
Published 1998“…Only features extracted are stored in a file for fingerprint matching. The matching algorithm presented is a modification and improvement of the structural approach. …”
Get full text
Get full text
Get full text
Article -
12
-
13
Performance analysis of hexagon-diamond search algorithm for motion estimation
Published 2010Get full text
Get full text
Conference or Workshop Item -
14
Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Pr...
Published 2024“…In this study, we used extreme learning machine (ELM)-multi-kernel least square support vector machine (ELM-MKLSSVM), extreme learning machine (ELM)-LSSVM-polynomial kernel function (PKF) (ELM-LSSVM-PKF), ELM-LSSVM-radial basis kernel function (RBF) (ELM-LSSVM-RBF), ELM-LSSVM-Linear Kernel function (LKF), ELM, and MKLSSVM models to predict water level. …”
Article -
15
Fractal coding of bio-metric image for face authentication
Published 2021“…This thesis implements the algorithms for the Methods of CPM, BPBM fractal coding, and its application. …”
Get full text
Get full text
Thesis -
16
An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…In order to demonstrate the feasibility of the algorithm, the engine was tested in the real application of football team management. …”
Get full text
Get full text
Get full text
Thesis -
17
Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning
Published 2019“…Many variants have been developed to cope with this problem and improve algorithm performance. …”
Get full text
Get full text
Get full text
Article -
18
Particle swarm optimization for neural network learning enhancement
Published 2006“…Two programs have been developed; Particle Swarm Optimization Feedforward Neural Network (PSONN) and Genetic Algorithm Backpropagation Neural Network (GANN). …”
Get full text
Get full text
Thesis -
19
Support directional shifting vector: A direction based machine learning classifier
Published 2021“…The positional error of the linear function has been modelled as a loss function which is iteratively optimized using the gradient descent algorithm. …”
Get full text
Get full text
Get full text
Article -
20
Optimization of coded signals based on wavelet neural network
Published 2015“…We performed evaluation using 13-bit, 35-bit and 69-bit Barker codes as signal codes to WNN. When compared with other existing methods, WNN yields better PSR, low Mean Square Error (MSE), less noise, range resolution ability and Doppler shift performance than the previous and some traditional algorithms like auto correlation function (ACF) algorithm.…”
Get full text
Get full text
Get full text
Get full text
Thesis
