[PDF] Top 20 Text Detection Model Based on Parallel SVM Algorithm
Has 10000 "Text Detection Model Based on Parallel SVM Algorithm" found on our website. Below are the top 20 most common "Text Detection Model Based on Parallel SVM Algorithm".
Text Detection Model Based on Parallel SVM Algorithm
... advanced algorithm rapidly develops in the field of the text detection and recognition and ...a model to be faster and more accurate access to more complex variants or the texts with missing ... See full document
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Implementation of Secured Network Based Intrusion Detection System Using SVM Algorithm
... intrusion detection system which is an effective probabilistic classifier employing the Bayes’ theorem with naive feature independence ...(Intrusion Detection using Naive Bayes) demonstrates higher ... See full document
8
Survey on Image Text Detection and Recognition of Natural Scene Images
... network based scene text detection algorithm along with a new text region extractor wasproposed to improve the independency and completeness of the extract candidate text ...This ... See full document
5
Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM
... Distributed Model Synchronization on Convergence: In the distributed model synchronizing experiments, we evaluate how the algorithm convergence is affected by the model synchronization ... See full document
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An Integrated Intrusion Detection System by Combining SVM with AdaBoost
... Single SVM algorithm has certain genera- lization ability for small sample, but for the problem of intrusion detection, its accuracy is still not ...classifier based on SVM. The ... See full document
9
Anomaly Detection Model Based on SVM & XGBoost to Detect Network Intrusions
... is based on machine learning. Our aim is to find the based suitable machine learning algorithm which can predict the type of network attack with highest accuracy and then develop a system which uses ... See full document
5
GPU Implementation of Parallel SVM as Applied to Intrusion Detection System
... Abstract--Intrusion Detection System (IDS) is an important and necessary component in ensuring network security that involves separation of attacks and ...kernel based SVM algorithm is a ... See full document
5
PSO GA Algorithm Based Cyberbullying Detection
... classification. Based on profiles users are grouped into four groups as ...The based on these types of users the fake profile who involves in cyberbullying is ...contention text as well as the image ... See full document
5
Design and Implementation of Parallelized LDA Topic Model Based on MapReduce
... topic model has gradually become a hot technology in the field of text data ...topic model method to analyze the text sets, we can find the hidden knowledge between words in the text ... See full document
5
A New Area based Algorithm for Traffic Sign Board Detection and Classification by SVM Approach
... board detection and recognition system is an exciting topic for the advanced driver assistance and automatic ...sign detection and recognition is becoming ... See full document
6
Research on Intrusion Detection Algorithm Based on Multi Class SVM in Wireless Sensor Networks
... is based on statistical learning theory and structural risk minimization ...the algorithm complexity, and effectively overcomes the “dimension disaster” prob- lems which often appears in artificial neural ... See full document
5
Intrusion Detection Using Rough Sets based Parallel Genetic Algorithm Hybrid Model
... Intrusion Detection systems (IDs) have been subjected to extensive researches because they can detect both misuse and ...learning algorithm, is used to rank features extracted for detecting intrusions and ... See full document
8
Effective Searching of Annotations in Web for Composite Text using SVM
... Formerly with the growth of web-based resources, including an explosion of user-generated content, has come parallel growth of research into web-based penetrating performance and forager experiences. ... See full document
5
Study on Parallel SVM Based on MapReduce
... different parallelization techniques such as threads, MPI, MapReduce, and mash-up or workflow technologies yielding different performance and usability characteristics [8]. MPI model is efficient in computation ... See full document
7
General Document Image Correction Method Based on Text Line in Natural Scene
... etc.), text detection is prone to the phenomenon of multiple text lines sticking together, leading to the wrong detection of text ...TextSnake model is firstly used to detect the ... See full document
9
Machine Learning and Deep Learning Methods for Cybersecurity
... Convolutional Neural Networks is an efficient algorithm, which is widely used. It is a type of artificial neural network. CNN is the first successful learning algorithm for training multi-layer network ... See full document
6
Anomaly Intrusion Detection based on a Hybrid Classification Algorithm (GSVM)
... for SVM to obtain a subset of beneficial features. The PSO SVM approach is applied to eliminate unnecessary or insignificant features, and effectively determine the parameter values, in turn improving the ... See full document
6
Techniques of Brain Cancer Detection from MRI using Machine Learning
... Brain tumour diagnosis has become a vital one in medical field because they are caused by abnormal and uncontrolled growing of cells inside the brain. Brain tumour detection is done using MRI and analysing it. The ... See full document
6
An efficient parallel algorithm for haplotype inference based on rule based approach and consensus methods.
... efficient parallel algorithms for Haplotype Inference based on Consensus Method proposed by Orzack and Gusfield in [Orzack ...second parallel algorithm introduces an improved variation of ... See full document
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Model-Based Eye Detection and Animation
... concepts: Model-Based Coding and a standard to compress the information, how is ...developed based on Model Based Coding, a concept which will be explained ... See full document
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