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Remote Sensing (RS) and Geography Information System (GIS) technologies are widely used in ecological analysis and regional planning. With the advantages of large scale monitoring, combination of poin...
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 ...
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...
Supervised learning from high-dimensional data, e.g., multimedia data, is a challenging task. We propose an extension of slow feature analysis (SFA) for supervised dimensionality reduction called grap...
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...
Document classification is widely applied in many scientific areas and academic environments, using NLP techniques and term extraction algorithms like CValue, TfIdf, TermEx, GlossEx, Weirdness and the...
The amount of data for decision making has increased tremendously in the age of the digital economy. Decision makers who fail to proficiently manipulate the data produced may make incorrect decisions ...
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...
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...
Expert system (ES) and operations research (OR) nave many fundamental characteristics that can be used to completnent and supplement each other. This paper surveys the synthesis of ES and OR and discu...
This paper proposes a new multi-class support vector machine for simultaneous gene selection and microarray classification. Combining the huberized hinge loss function and the elastic net penalty, the...
In this paper a new algorithm for classification and real-time recognition of different a-priorily assumed operating modes for construction machines is proposed. This algorithm utilizes the effectiven...
We are interested in the area of Dialogue Act (da) tagging.Identifying the dialogue acts of utterances is recognised as an important step towards understanding the content and nature of what speakers ...
We present recent experiments which build on our work in the area of Dialogue Act (da) tagging.Identifying the dialogue acts of utterances is recognised as an important step towards understanding the ...

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