efficient pre-processing algorithms
ORetinex-DI: Pre-processing Algorithms for Melanoma Image Enhancement
... An efficient technique is needed for image enhancement as one of the pre-processing requirement in the segmentation and classification as Melanoma or non-melanoma of dermoscopic images because there ...
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Multimodal Biometric Recognition System For Efficient Authentication Using MATLAB
... show. Algorithms used for iris, fingerprint and face traits are Image Pre-Processing Step 1– Image Denoising (Restoration) 2d Hybrid Bilateral Filter, Image Enhancement Using Wavelet Transform And ...
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Efficient Pre-Processing for Large Window-Based Modular Exponentiation Using Ant Colony
... several efficient algorithms that perform exponentiation with a nearly minimal number of modular multiplications, such that the window-based meth- ...some pre-computations that if not performed ...
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ENHANCED SEMANTICS BASED DISTRIBUTED DOCUMENT CLUSTERING: EXPERIMENTAL EVALUATION
... distributed algorithms and role of Hadoop and MapReduce in distributed clustering applications is covered in detail in ...“Efficient Pre-Processing for Enhanced Semantics Based Distributed ...
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Effective Log File Mining by Pre-processing, User and Session Identification Algorithms
... As a result of lots of research and development, quality of web related services has improved significantly. But because of unprecedented growth of the Web and abundance of information, Web Users are not able to locate ...
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Development of Efficient Signal Pre-Processing Algorithm for Hybrid BCI
... This paper conducts comprehensive review of various algorithms for signal pre-processing for BCI’s system. It focuses on data processing, artifact removal, signal pre-processing. ...
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Parallel K Means Clustering for Gene Expression Data on SNOW
... a pre-processing step to provide a more efficient data structure to a parallel formulation of the sequential K-Means algorithm, utilizing multiple cores available in a desktop computer, via the ...
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Fast Pattern Matching In Stream Time Series Data for Electrical Applications
... 2. Due to the frequent updates, it is very difficult to store all the data in memory or on disk, thus, data summarization and one pass algorithms are usually required to achieve a fast time response. In this work ...
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Pre Processing MRSes
... for pre-processing an MRS. The pre-processing step connects our MRS elements to a domain ontology and it can create additional states and ...
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Efficient algorithms for solving static Hamilton Jacobi equations
... In the CSC algorithm we have used characteristic polygons/polyhedra which contain at least all of the closest points to primitives in the curve/surface. For some types of curves and surfaces it is possible to efficiently ...
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A Research Based On Mining User Aware-Rare STPS in Document Streams
... of algorithms can be extended to the uncertain data ...generate-and-test algorithms, hyper-structure algorithms and pattern growth based ...of algorithms is very different in the uncertain ...
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Efficient Implementation of Nested Loop Multimedia Algorithms
... As a matter of fact that most of multimedia algorithms are characterized as data-intensive and data-parallel algo- rithms. Furthermore, a huge portion of total execution time is consumed by elementary operations ...
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An Improved Sampling Algorithm for Imbalanced Data Sets in the context of Ordinal Classification
... Classification of data becomes problematic due to class imbalance nature and classes having ordering relationship. The main objective of this research is to improve the classification accuracy and maintain the class ...
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Comparative Analysis of Various Tools for Data Mining and Big Data Mining
... evolutionary algorithms for data mining problems like regression, classification, clustering and pattern ...existing algorithms that it uses to compare and with new ...offers algorithms for ...
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Efficient Method for 3D Reconstruction using Underwater Videos
... In the proposed work underwater enhancement using CLAHE and 3D reconstruction of the video frames with the help of SURF feature detector and descriptor is done. CLAHE based image enhancement is done to get better ...
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Parallel Implementation of Big Data Pre-Processing Algorithms for Sentiment Analysis of Social Networking Data
... batch processing model), how well do they handle the pre-processing of data that is arriving at a faster rate, like Twitter feeds or posts from Facebook users? How do we handle the velocity part of ...
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Enhancing Speed of Map Reduce Classification Algorithms Using Pre Processing Technique
... Abstract— With exponentially increasing electronic data day by day, Big Data is gaining attention for solving faster access and summarization problems. However, this huge amount of data with heterogeneous formats ...
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Pre-processing for noise detection in gene expression classification data
... The pre-processed data sets Leukemia and ExpGen had only some similar results, but none better than those obtained for the original data sets, while Golub data set presented the worst results in all ...
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A survey on big data and its research challenges
... The rapid growth of data on the internet, challenges the research community to move towards innovating efficient algorithms and processing technologies. The access technique for big data has two ...
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Localization of ambiguously identifiable wireless agents: complexity analysis and efficient algorithms
... The unique identification of users and agents in wireless networks is generally regarded as a design requirement. Particularly in networks in which the localization of the network participants is essential, non-unique ...
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