Search Results - ((canny algorithm) OR (((((mining algorithm) OR (matching algorithm))) OR (_ algorithm))))
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1
Shape matching and object recognition using dissimilarity measures with Hungarian algorithm
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Working Paper -
2
Hereditary ratio of adolescent to parent based on lips analysis using canny edge detection / Nor Shamimi Kharuddin
Published 2010“…This process significantly reduces the amount of data in the image, while preserving the most important structural features of that image. Canny edge detection is considered to be the ideal edge detection algorithm for images that are corrupted with white noise. …”
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Thesis -
3
A new text-based w-distance metric to find the perfect match between words
Published 2020“…The k-NN algorithm is an instance-based learning algorithm which is widely used in the data mining applications. …”
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Article -
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A prototype for context identification of scientific papers via agent-based text mining
Published 2023Conference Paper -
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Dissimilarity algorithm on conceptual graphs to mine text outliers
Published 2009“…The graphical text representation method such as Conceptual Graphs (CGs) attempts to capture the structure and semantics of documents.As such, they are the preferred text representation approach for a wide range of problems namely in natural language processing, information retrieval and text mining.In a number of these applications, it is necessary to measure the dissimilarity (or similarity) between knowledge represented in the CGs.In this paper, we would like to present a dissimilarity algorithm to detect outliers from a collection of text represented with Conceptual Graph Interchange Format (CGIF).In order to avoid the NP-complete problem of graph matching algorithm, we introduce the use of a standard CG in the dissimilarity computation.We evaluate our method in the context of analyzing real world financial statements for identifying outlying performance indicators.For evaluation purposes, we compare the proposed dissimilarity function with a dice-coefficient similarity function used in a related previous work.Experimental results indicate that our method outperforms the existing method and correlates better to human judgements. …”
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Context identification of scientific papers via agent-based model for text mining (ABM-TM)
Published 2023“…In this paper, we propose an agent-based text mining algorithm to extract potential context of papers published in the WWW. …”
Article -
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Position score weighting technique for mining web content outliers.
Published 2013“…The existing mining web content outlier methods used stemming algorithm to preprocess the web documents and leave the domain dictionary in their root words. …”
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Article -
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Improving sentiment reviews classification performance using support vector machine-fuzzy matching algorithm
Published 2023“…Many of these dimensionalities have a major impact on the complexity and performance of the algorithms used for classification. Various challenges were encountered, including how to determine the optimal combination of pre-processing techniques, how to clean the dataset, and determine the best classification algorithm. …”
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Automatic document clustering and indexing of multiple documents using KNMF for feature extraction through Hadoop and lucene on big data
Published 2023“…Automatic indexing; Big data; Cluster analysis; Extraction; Factorization; Indexing (of information); Information retrieval; K-means clustering; Natural language processing systems; Open source software; Open systems; Pattern matching; Software quality; Software testing; Text mining; Hadoop; Key phrase extractions; Map-reduce; Pattern-matching technique; Porters; Pre-processing algorithms; Software environments; Unlabeled; Matrix algebra…”
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A Web-Based Recommendation System To Predict User Movements Through Web Usage Mining
Published 2009“…The approach in the offline phase is based on the new graph partitioning algorithm to model user navigation patterns for the navigation patterns mining. …”
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Thesis -
12
Pattern Discovery Using K-Means Algorithm
Published 2024“…The pattern extracted gave information on the previous matching process done by the university.…”
Proceedings Paper -
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Utilization of canny and velocity bunching algorithms for modelling shoreline change
Published 2006“…This paper introduces new method for simulating shoreline change from multi-SAR data. Edge detection algorithm such as Canny algorithm is implemented to identify shoreline. …”
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14
Edge Detection Algorithm For Image Processing Of Search And Rescue Robot
Published 2016“…Subsequently, Canny edge detection algorithm is selected as an efficient algorithm based on the comparison made and it is further used in this project. …”
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Final Year Project -
15
Travel place recommendation system using K-Nearest Neighbors algorithm / Nur Amirah Shahidan
Published 2021“…The method has been proposed in the recommendation system is K-Nearest Neighbors algorithm. K-Nearest Neighbors algorithm is widely used among classification algorithm in recommendation system. …”
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Thesis -
16
Concept Based Lattice Mining (CBLM) using Formal Concept Analysis (FCA) for text mining
Published 2019“…The deployment of FCA concept lattices ensures that the matching is done based on extracted concepts; not just mere keywords matching hence producing more relevant results. …”
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17
Automatic detection of lineaments from LANDSAT images in United Arab Emirate (UAE)
Published 2006“…The results show that: Canny algorithm with kernel window size of 3 x 3 pixels and line provides highly precisely lineaments information compared to Laplacian algorithm. …”
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18
Execution time optimization analysis on multiple algorithms performance of moving object edge detection
Published 2023Subjects: “…Canny algorithm…”
Conference paper -
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2012“…The proposed OCR method consists of Canny edge detection algorithm, Hough Transformation and Shearing Transformation were used to detect and correct skewed and slanted images. …”
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OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2011“…The proposed OCR method consists of Canny edge detection algorithm, Hough Transformation and Shearing Transformation were used to detect and correct skewed and slanted images. …”
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