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CLASSIFICATION OF POLE-LIKE OBJECTS USING POINT CLOUDS AND IMAGES CAPTURED BY MOBILE MAPPING SYSTEMS
Mobile Mapping System Point-Cloud Pole-Like Object Machine Learning Convolutional Neural Network
2018/6/4
The vehicle-based mobile mapping system (MMS) is effective for capturing 3D shapes and images of roadside objects. The laser scanner and cameras on the MMS capture point-clouds and sequential digital ...
Classification of Triadic Chord Inversions Using Kohonen Self-organizing Maps
Harmony Neural Networks Cognitive Musicology
2015/7/30
In this paper we discuss the application of the Kohonen Selforganizing Maps to the classification of triadic chords in inversions and root positions. Our motivation started in the validation of Sch...
Enhanced Self-Organizing Map Neural Network for DNA Sequence Classification
Bioinformatics Artificial Neural Networks Self-Organizing Map Classification Sequence Alignment
2013/1/28
The artificial neural networks (ANNs), among different soft computing methodologies are widely used to meet the challenges thrown by the main objectives of data mining classification techniques, due t...
We introduce a new procedure for training of artificial neural networks by using the approximation of an objective function by arithmetic mean of an ensemble of selected randomly generated neural netw...
Churn Forecast Based on Two-step Classification in Security Industry
Customer Segmentation Churn Self-Organize Map Neural Network Decision Tree
2013/1/28
Customer is a determinant factor that decides whether a security company will be alive. As a result, the competition for customers is more and more intense between security companies. In order to avoi...