[PDF] Top 20 An Ensemble Method for Character Recognition Using Machine Learning Techniques
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An Ensemble Method for Character Recognition Using Machine Learning Techniques
... Character Recognition has been an active area of research in the field of image processing and pattern recognition and due to its diverse applicable environment; it continues to be a challenging ... See full document
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Application Of Ensemble Machine Learning Methods To Improve Effort Prediction Accuracy
... research using machine learning techniques has been done for effort estimation and no single technique is ...superior. Machine learning techniques use statistical analysis ... See full document
6
Automatic face image annotation using machine learning techniques
... image. Using neural networks those windows are examined and checked for the presence of a face inside a particular sliding ...The method concentrates on face detection and not on the identification or ... See full document
6
Braille Transliteration Of Hindi Handwritten Texts Using Machine Learning For Character Recognition
... proposed recognition accuracy is 90% but the dataset valuate was very ...handwritten character database and also lists and compares the existing database‘s advantages and ...scanned using 300 dpi ... See full document
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Skin based Occlusion Detection and Face Recognition using Machine Learning Techniques
... The simplest way of circular hough transform is the linear transform for detecting straight lines. In the image space, the straight line can be described as y = mx+b and can be plotted graphically by using pair of ... See full document
5
Digital Attendance Calculation System using Support Vector Machine & Image Processing
... the method for attendance calculation ...digitized method for calculating number of classes present and absent for a student which in the previous case is time consuming and may sometimes produce incorrect ... See full document
7
Software Defect Prediction Using Supervised Machine Learning and Ensemble Techniques: A Comparative Study
... Cost-sensitive learning is another approach to dealing with data ...Three ensemble methods are widely used in SDP includes: bagging, boosting, and ...chine learning and Ensemble ... See full document
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Research on modulation recognition with ensemble learning
... (PAC) learning model [25]. The concept of weak and strong learning is proposed by Valiant and ...boosting method is come up by Schapire in 1989 [26], which is the prototype of boosting ...a ... See full document
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A Robust Isolated Automatic Speech Recognition System using Machine Learning Techniques
... speech recognition and language of speech is identified using Automated speech recognition (ASR) system and then in a respective natural language the segments of input speech is converted into ... See full document
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Comparative Analysis Of Advanced Classification Techniques For Multilingual Ocr Systems
... vector machine gave better ...for recognition of hand written Arabic ...on recognition of word, so character segmentation stage was not ...the recognition of Arabic Hand written dataset ... See full document
5
Effective Character Recognition using ANN & Convolution Techniques.
... Character recognition is performed off-line after the writing or printing has been completed, as opposed to on-line recognition where the computer recognizes the characters as they are ...pattern ... See full document
5
A Review on Character Recognition Techniques
... processing techniques and pattern recognition were combined using artificial ...the machine-printed off-line [10] and restricted vocabulary size, user-dependent on-line handwritten characters ... See full document
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Vision based human action recognition using machine learning techniques
... action recognition, but very few are actually suitable for real-time applications due to their high computa- tional ...extracted using foreground detection ...action recognition such as feature ... See full document
173
Handwriting Recognition by Machine Learning
... supervised machine learning method is used in which KNN classifier can be used to find out the class based on similarity ...matrix method is used to compare the feature vector matrix of new ... See full document
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Implementation of Handwritten Character Recognition Using Machine Learning
... We trained the network to minimize the Connectionist Temporal Classification objective function. We performed the optimization with stochastic gradient descent, using the RMS Prop method with a base ... See full document
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Optical Character Recognition Using Deep Learning and OpenCV Techniques
... Despite the abundance of technical writing tools, many people still choose to take their notes traditionally: with pen and paper. However, there are drawbacks to handwriting text. It’s troublesome to store Associate in ... See full document
5
Hybrid Classifier for Sentiment Analysis using Effective Pipelining
... hybrid method for analyzing sentiments. This method employs a pipeline system consisting of rules, lexicon and machine learning based classifier where a tweet after undergoing preprocessing is ... See full document
6
An Overview of Character Recognition Systems
... these techniques, there is a another technique which do not explicitly derive features from the ...popular method is Artificial Neural Network ...connections. Learning in biological system involves ... See full document
7
Detecting Diabetes Mellitus using Machine Learning Ensemble
... non-parametric method for classification where some known classes are given; within each of these classes, there are some cases that dictate the characteristics of each ...common method used as a distance ... See full document
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A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co occurrence
... A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Character Co occurrence A Method for Correcting Errors in Speech Recognition Using the Statistical Features of Ch[.] ... See full document
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