Average classification accuracies using independent approach
Acoustic classification using independent component analysis
... Chapter 2 Background 2.1 Biological Inspiration The human auditory cortex is a complex cognitive system, able to make extremely selec- tive and complex decisions in an instant. This performance has long been desired in ...
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Detection and classification of vehicles from omnidirectional videos using temporal average of silhouettes
... an approach to detect and classify vehicles in omnidirectional ...proposed classification method is based on the shape (silhouette) of the detected moving object obtained by background ...based ...
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News Headlines Classification Using Probabilistic Approach
... probabilistic approach is discussed for classifying news, based on their ...headlines classification are applied in this ...done using frequency based stop words removal approach, where word ...
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WEIGHTED AVERAGE ANALYSIS APPROACH FOR HAND GESTURE RECOGNITION USING ANN
... When speaking about image recognition or sign classification, the most widespread solution is the neural network. It‘s a highly efficient method that has been proven able to distinguish and classify with an ...
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A Domain and Language Independent Named Entity Classification Approach Based on Profiles and Local Information
... Lastly, each language poses distinct challenges that may affect the performance of NERC (Tjong Kim Sang, 2002; Sang and De Meulder, 2003). Towards the advance of such issues, our final objective is to develop a ...
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An Approach Using Style Classification Features for Quality Estimation
... style classification features: it might be rel- evant to run two independent selection pro- cesses at first and then gather the resulting features together only for a more fine-grained final ...
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A gene selection algorithm using Bayesian classification approach
... corresponding classification accuracies on TRAIN data are also ...statistics using Ingenuity Pathways Analysis (IPA, ...highest classification accuracy on training set is obtained at 2nd ...
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Classification of Web Pages Using Naive Bayesian Approach
... data. Classification is the process that divides data into groups, which are either dependent or independent of each other and each class is acts as a ...
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A New Approach to Pollen Classification using Computational Intelligence
... the classification performance shows that the choice of transfer function should be “Tanh” in hidden as well as output layer and the best learning rule is observed as a standard backpropagation algorithm with ...
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Scene Classification Using a Hybrid Generative/Discriminative Approach
... To test RF, we simulate the user’s feedback using 25 random images of each category. For each query image, we carry out n iterations. At each iteration, the system examines the top 20, 40, or 60 images that are ...
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AN INTEGRATED APPROACH FOR OFFLINE SIGNATURE CLASSIFICATION USING ANN
... Two training sequences can be one of the following comparisons. When one assumes the train signature is normalised with respect to the rotation of more or less change-this can be a realistic assumption, because usually ...
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ARTFSC Average Relative Term Frequency Sentiment Classification
... Sentiment Classification refers to the computational techniques for classifying whether the sentiments of text are positive or ...Frequency, using Support Vector Machine are popularly used for Sentiment ...
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A semiparametric approach to source separation using independent component analysis
... We use the historical Iris dataset to illustrate the performance of our method compared with other commonly used ICA algorithms. Three types of iris plants are studied in the experiment. The sepal length and width and ...
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Domain Independent Feature Extraction using Rule Based Approach
... proposed approach showed an accuracy increment of approximately 3% over the baseline ...sentiment classification and feature-based opinion mining. Sentiment classification investigates ways to ...
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System-independent ASR error detection and classification using Recurrent Neural Network
... generic approach for automatic speech recognition error detection and error type ...decoder using a set 315 of features derived exclusively from the ASR output and hence should be usable with any ASR system ...
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A Language Independent Method for Question Classification
... the average length of the words in the three languages used in this ...the average length of words is ...the average length is ...of classification accuracy of train- ing SVM using all ...
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Remote sensing image classification using soft computing approach
... of using Sugeno FIS are the algorithms can be used to automatically optimize the Sugeno ...weighted average replace the time consuming defuzzification process; computational efficiency and accuracy; more ...
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Studies on classification of FMRI data using deep learning approach
... Brain mapping is the association of perceptual or cognitive states with specific patterns of brain activity and it is central to human neuroscience [9].There are single subject, multi subjects, single stimulus and multi ...
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New Approach for Classification and Learning Using Fuzzy Random Forest
... system will finally calculate the F-measure with correctness. The below table shows the experimental results with existing systems. Fig 1: System performance proposed vs Existing Here Fig 1 shows the overall accuracy of ...
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Accuracies and Training Times of Data Mining Classification Algorithms: An Empirical Comparative Study
... Naïve Bayesian models are popular in machine learning applications, due to their simplicity in allowing each attribute to contribute towards the final decision equally and independently from the other attributes. This ...
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