Spatial Data Mapping with Support Vector Regression
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A crucial aspect of the human mind is the ability to project the self along the time line to past and future. It has been argued that such self-projection is essential to re-experience past experiences and predict future events. In-depth analysis of a nove ...
The quality of Support Vector Machines binary classification of spatial environmental data is evaluated with geostatistical nonparametrtic conditional stochastic simulations. Equally probable realizations are generated and compared with SVM. Case study is ...
The research deals with the novel application of Support Vector Machines (Support Vector Classification and Support Vector Regression) for the analysis and modelling of spatial environmental data. Multiclass classification of soil types and pollution mappi ...
Artistic screening is a new image reproduction technique incorporating freely created artistic screen elements for generating halftones. Fixed predefined dot contours associated with given intensity levels determine the screen dot shape's growing behavior. ...
Electrons trapped in field emission resonances (FERs) in front of a Ag(100) surface covered with ultrathin NaCl islands are probed by scanning tunneling spectroscopy. The eigenstates in the potential well formed between the tip and the sample are calculate ...
European-wide standard methodologies for rock fall hazard assessment and mapping would constitute a very important step towards more transparent and reproducible procedures used for these purposes, and would provide as well a higher uniformity in land use ...
The report deals with the novel application of Support Vector Machines (Support Vectore Classification and Support Vector Regression) for the analysis and modelling of reservoir data. 2 problems are considered: classification and mapping of porosity data. ...
The report deals with a first application of Support Vector Machines to the environmental spatial data classification. The simplest problem of classification is considered: using original data develop a model for the classification of the regions to be bel ...
This paper investigates a non-linear mapping approach to extract robust features for ASR and separation of overlapping speech. Based on our previous studies, we continue to use two additional sound sources, namely, from the target and interfering speakers. ...
