Feature-based and model-based approaches
Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches
... integrates feature-based and model-based approaches and made it available in an open-source ...pure feature-based approaches yet is significantly less time ...
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Combining Model-Based with Learning-Based Approaches for Autonomous Manipulation
... from model-based grasping used during real robot executions, simulation-based data collection is not constraint by time; it is an offline ...from model-based approaches does not ...
211
Evaluation of a State-Based Model of Feature Interactions
... other features may be changed. The main difference between these approaches and ours is that we have a communication protocol between features and between end-users. Signals are passed from the environment to the ...
15
An NN Based Feature Analysis Model for Sleep ...
... provided feature driven analysis applied over the signal under component driven non linear signal ...SVM approaches. These approaches provided the signal level validation along with random sampling ...
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A comparison between end-to-end approaches and feature extraction based approaches for Sign Language recognition
... The CNN is configured as follows (Fig. 2): has 4 convolu- tional layers with ReLU non-linearity, and ends with 2 fully connected layer with 128 and 23 neurons in each layer, and Relu and Softmax non-linearity ...
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Feature Model-based Software Product Line Testing
... If these challenges are met by adequate approaches, the benefits outweigh the higher complexity and effort of testing activities. The challenges of testing an SPL are caused by the product line variability and the ...
236
Model Based Feature Extraction for Gait Analysis and Recognition
... vision approaches aimed to extract limbs, and a dearth of approaches specifically aimed to determine vertices, we propose a new method to extract human joints with better accuracy then blobs via incorpo- ...
11
A Feature Selection Based Model for Software Defect Prediction
... predictive model in machine learning, which is faster, less complex and shows comparable accuracy as compared to Support Vector Machine(SVM) and other machine learning approaches ...relevant feature ...
20
A Comparison of Model Based and Incremental Case Based Approaches to Electronic Fault Diagnosis
... surface feature-based retrieval followed by model-based ...The model-based validation uses validation information from these cases to direct further inquiry into the target ...
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On model- and data-based approaches to structural health monitoring
... in model development, in the presence of both damage and sources of modelling uncertainty, may be a useful tool for informing decisions both on the strategy for further model development, and on the ability ...
237
SOFTWARE QUALITY MODEL BASED ON SOFTWARE DEVELOPMENT APPROACHES
... Feature Analysis - Case Study was used. In addition, for proposing a new model, we analyzed each approach’s principles, and all artifacts included within their methods. Then, the Goal Question Metric (GQM) ...
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A mixture of physicochemical and evolutionary-based feature extraction approaches for protein fold recognition
... distribution-based feature extraction methods. In conclusion, suing our proposed approaches, we achieve several goals such as: improving the consensus sequence extraction method as well as addressing ...
23
A Feature Space-based Business Model Quality Evaluation Method
... these approaches usually aim at some specific quality features of a specific model and the assessment results just reflect some defi- ciencies in the ...standard model ) , e.g., completeness of a ...
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Facial feature point tracking based on a graphical model framework
... components: feature detection, feature tracking, and expression ...recognition. Feature detection involves detecting the distinguishable points that can define the movement of facial ...or ...
99
IMPLEMENTATION OF SDN BASED FEATURE SELECTION APPROACHES ON NSL-KDD DATASET FOR ANOMALY DETECTION
... Protocol based intrusion detection system (PIDS), Application protocol-based intrusion detection system (APIDS) and Hybrid intrusion Detection ...Signature based intrusion detection is one of the ...
11
Generating System Architectures from a Given Feature Model: Feature-based multi-objective optimization
... system, based on its feature model and find those solutions which were applicable to many ...perform feature-based architecture ...optimization approaches but not when they apply ...
58
Model based approaches for predicting gait changes over time
... reduced feature sets before training dependent predictive model copes very well when either only time-dependent covariates present or extra subjects are added from LDB both for training and testing ...
8
Welfare economics and bounded rationality : The case for model based approaches
... of model will be suggested by the speci…c situation at hand, and the ex-post choice between competing models/explanations will be settled by ...crucial feature that sets these models apart from the ...
25
Textual case-based reasoning for spam filtering: a comparison of feature-based and feature-free approaches
... a feature-based form of textual ...a feature-free fashion, using a distance measure based on text ...the feature-free approach to be more accurate than the feature-based ...
19
A Feature Based Model for Lexical Databases
... A FEATURE BASED MODEL FOR LEXICAL DATABASES A F E A T U R E B A S E D M O D E L F O R L E X I C A L D A T A B A S E S JEAN VI~RONIS, NANCY IDE Groupe Reprdsentation et Traitement des Connaissances, Ce[.] ...
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