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a note-level classification approach using a neu-

Classification Using Geometric Level Sets

Classification Using Geometric Level Sets

... the level set classification method proposed in this ...between classification and level set image segmentation in Scott and Nowak (2006) and Willett and Nowak (2007), but the formulation is ...

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A supervised classification approach for note tracking in polyphonic piano transcription

A supervised classification approach for note tracking in polyphonic piano transcription

... Transcription, note tracking systems constitute a key process in the overall success of the task as they compute the expected note- level abstraction out of a frame-based pitch activation ...

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A multi-level refinement approach towards the classification of quotidian activities using accelerometer data

A multi-level refinement approach towards the classification of quotidian activities using accelerometer data

... of classification results in a HAR problem using accelerometer ...proposed approach has demonstrated that the classification results improve on each refinement ...better classification ...

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DIEGOLab: An Approach for Message level Sentiment Classification in Twitter

DIEGOLab: An Approach for Message level Sentiment Classification in Twitter

... tweet using the prior polarities of its ...when using such a lexicon on tweets, is words are frequently mis- spelled and, thus, missed by the lexicon matching ...

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A statistical approach to IP-level classification of network traffic

A statistical approach to IP-level classification of network traffic

... similar approach has been used in [4] to analyze chat ...are using their own transport pro- tocol or are layered on top of other application protocols like ...

7

Diagnosis of Diabetes Using an Intelligent Approach Based on Bi-Level Dimensionality Reduction and Classification Algorithms

Diagnosis of Diabetes Using an Intelligent Approach Based on Bi-Level Dimensionality Reduction and Classification Algorithms

... and classification algorithms to improve the diagnostic accuracy of ...improving classification performance, especially in the case of high-dimensional data classification ...

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A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition

A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition

... done using MATLAB 2019b ground truth labeling for feature ...each classification. The rules associated with each classification of driver distraction was further tested using test ...

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A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition

A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition

... done using MATLAB 2019b ground truth labeling for feature ...each classification. The rules associated with each classification of driver distraction was further tested using test ...

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A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data

A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data

... wSVM approach with respect to a standard approach based on SVM is that the weighting algorithms will perform well associated to the samples located in the high-density regions of the feature space, thus on ...

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A multivariate approach for onset detection using supervised classification

A multivariate approach for onset detection using supervised classification

... the classification rule for a given set of algorithm parameters and one for evaluating the goodness of this ...the approach is that we are not interested in the predicted class labels but in the probability ...

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An Approach Using Style Classification Features for Quality Estimation

An Approach Using Style Classification Features for Quality Estimation

... “style classification” features for the task of QE: the idea is to select a set of n-grams which are particularly representa- tive of a given level of ...

6

Scene Classification Using a Hybrid Generative/Discriminative Approach

Scene Classification Using a Hybrid Generative/Discriminative Approach

... when using KNN ...obtained using color SIFT and four concentric ...obtained using the SIFT vocabulary alone, rather than when merging both vocabularies (patches and ...of using multiple ...

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A NEW APPROACH OF WEB ATTACKS CLASSIFICATION FOR TESTING SECURITY TOOLS AT THE APPLICATION LEVEL

A NEW APPROACH OF WEB ATTACKS CLASSIFICATION FOR TESTING SECURITY TOOLS AT THE APPLICATION LEVEL

... in using them is to study their effectiveness and make sure that they are working ...based classification method along with the top ten vulnerabilities in web application identified by ...

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A Variational Approach to Weakly Supervised Document Level Multi Aspect Sentiment Classification

A Variational Approach to Weakly Supervised Document Level Multi Aspect Sentiment Classification

... sentiment classification. Instead of using user-generated ratings or annotations provided by domain experts, we use target- opinion word pairs as ...by using depen- dency parsers and simple ...

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K Nearest Neighbor Classification Approach for Face and Fingerprint at Feature Level Fusion

K Nearest Neighbor Classification Approach for Face and Fingerprint at Feature Level Fusion

... proposed a simple averaging technique and compared it with the Bayesian integration scheme presented by Kittler et al. [6]. A multimodal person verification system is proposed, using three experts: frontal face, ...

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Classification of extremist text on the web using sentiment analysis approach

Classification of extremist text on the web using sentiment analysis approach

... a classification or regression model in a tree-like ...sample using the various attribute values in a given data ...the classification of the dependent variable ...each level of the data in a ...

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Mining the data from a hyperheuristic approach using associative classification

Mining the data from a hyperheuristic approach using associative classification

... classification approach that utilises association rule mining to construct accurate classification ...Peckish using different classifi- cation approaches, the results indicated that associative classification ...

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Multi-temporal land use classification using hybrid approach

Multi-temporal land use classification using hybrid approach

... Sawantwadi taluka (Fig. 1) of Sindhudurg district is located at the South West corner of the Maharashtra state of India. The study area is bounded between 15 ° 43 0 –16 ° 3 0 latitudes in northern hemisphere and 73° 41 0 ...

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Image based approach for cognitive classification using 
		EEG signals

Image based approach for cognitive classification using EEG signals

... EEG classification is performed conventionally by extracting statistical ...this classification is affected more by artifacts and hence a better approach using image based is ...captured ...

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Oil Reservoirs Classification Using Fuzzy Clustering (RESEARCH NOTE)

Oil Reservoirs Classification Using Fuzzy Clustering (RESEARCH NOTE)

... Possibilistic C-Means A B S T R A C T Enhanced Oil Recovery (EOR) is a well-known method to increase oil production from oil reservoirs. Applying EOR to a new reservoir is a costly and time consuming process. ...

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