Search Results - (( parallel estimation method algorithm ) OR ( pattern extraction using algorithm ))
Search alternatives:
- parallel estimation »
- pattern extraction »
- estimation method »
- method algorithm »
- extraction using »
- using algorithm »
-
1
Parallel visualization approach of a 3D heart model
Published 2008Get full text
Get full text
Conference or Workshop Item -
2
Digital quadrature compensators scheme for analog imperfections of quadrature modulator in wireless communication systems
Published 2016“…Offline on the other hand, is a mode where adaptive algorithms cannot estimate the imperfections in parallel with the transmission. …”
Get full text
Get full text
Thesis -
3
Finger Vein Recognition Using Pattern Map As Feature Extraction
Published 2012“…Algorithms such as Gabor Filter, Local Line Binary Pattern (LLBP) and Principal Component Analysis (PCA) have been proposed in recent study to extract finger vein features. …”
Get full text
Get full text
Thesis -
4
Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat
Published 2019“…Our results from the conducted experiments revealed that the proposed algorithm outperform the state-of-the-art aspect extraction algorithms and optimization algorithms. …”
Get full text
Get full text
Get full text
Thesis -
5
Realization Of The 1D Local Binary Pattern (LBP) Algorithm In Raspberry Pi For Iris Classification Using K-NN Classifier
Published 2018“…Classic local binary pattern (LBP) is one of the most useful feature extraction methods. …”
Get full text
Get full text
Monograph -
6
A modified fuzzy min-max neural network with a genetic-algorithm-based rule extractor for pattern classification
Published 2010“…In this paper, a two-stage pattern classification and rule extraction system is proposed. …”
Get full text
Article -
7
Predicting hearing loss symptoms from Audiometry data using FP-Growth Algorithm and Bayesian Classifier
Published 2013“…FP-Growth (frequent pattern growth) algorithm was employed as a feature extraction technique. …”
Get full text
Get full text
Article -
8
Pattern discovery using k-means algorithm
Published 2014“…This paper will discuss the results of a pattern extraction process using a clustering algorithm that is k-means. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
9
Pattern Discovery Using K-Means Algorithm
Published 2024“…This paper will discuss the results of a pattern extraction process using a clustering algorithm that is k-means. …”
Proceedings Paper -
10
Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…The primary concept of association rule algorithms consist of two phase procedure. In the first phase, all frequent patterns are found and the second phase uses these frequent patterns in order to generate all strong rules. …”
Get full text
Get full text
Thesis -
11
HEP-2 CELL IMAGES CLASSIFICATION BASED ON STATISTICAL TEXTURE ANALYSIS AND FUZZY LOGIC
Published 2014“…This project proposes a pattern recognition algorithm consisting of statistical methods to extract seven textural features from the HEp-2 cell images followed by classification of staining patterns by using fuzzy logic. …”
Get full text
Get full text
Final Year Project -
12
Neural Network Based Pattern Recognition in Visual Inspection System for Intergrated Circuit Mark Inspection
Published 1998“…The feature extraction module was tested for its speed using various ROI sizes. …”
Get full text
Get full text
Thesis -
13
Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…As the components of big data continue to expand, the task of extracting useful information becomes critical. Topic extraction refers to the process of extracting main topics from the pool of news feed and a typical method to perform topic extraction is through clustering. …”
Get full text
Get full text
Article -
14
Fingerprint verification using clonal selection algorithm / Farah Syadiyah Shamsudin
Published 2017“…Further studies can be made by using the same algorithm, but focusing more on the image enhancement and the feature extraction methods to improve the quality of the extraction of fingerprints.…”
Get full text
Get full text
Thesis -
15
Fingerprint classification : a BI-resolution approach to singular point extraction
Published 2004“…This thesis presents a singular point extraction method using two layers of information, without pre-processing of the image. …”
Get full text
Get full text
Thesis -
16
MINING CUSTOMER DATA FOR DECISION MAKING USING NEW HYBRID CLASSIFICATION ALGORITHM
Published 2011“…The experimental result shows that the proposed hybrid k-mean plus MFP algorithm can generate more useful pattern from large stock data.…”
Get full text
Get full text
Citation Index Journal -
17
Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…This thesis is concerned with algorithm optimization and efficient low cost architecture design for integer motion estimation (IME) and sub-pixel motion estimation (SME) of H.264/AVC. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Thesis -
18
Rough Neural Networks Architecture For Improving Generalization In Pattern Recognition
Published 2004“…The algorithm enhances the recognition ability of the system compared to manual extraction and labeling of pattern classes. …”
Get full text
Get full text
Thesis -
19
Early detection of breast cancer using wave elliptic equation with high performance computing
Published 2008“…This paper focuses on the implementation of parallel algorithm for the simulation of breast cancer tumor using two dimensional Helmholtz’s wave equation on a distributed parallel computer system (DPCS). …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Improved GART neural network model for pattern classification and rule extraction with application to power systems
Published 2023“…IGART enhances the dynamics of GART in several aspects, which include the use of the Laplacian likelihood function, a new vigilance function, a new match-tracking mechanism, an ordering algorithm for determining the sequence of training data, and a rule extraction capability to elicit if-then rules from the network. …”
Article
