Browsing by Keywords "Feature selection"
Now showing items 1-8 of 8
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Human action recognition with line and flow histograms
(IEEE, 2008-12)We present a compact representation for human action recognition in videos using line and optical flow histograms. We introduce a new shape descriptor based on the distribution of lines which are fitted to boundaries of ... -
Human activity recognition using inertial/magnetic sensor units
(Springer, Berlin, Heidelberg, 2010)This paper provides a comparative study on the different techniques of classifying human activities that are performed using body-worn miniature inertial and magnetic sensors. The classification techniques implemented and ... -
Land cover classification with multi-sensor fusion of partly missing data
(American Society for Photogrammetry and Remote Sensing, 2009-05)We describe a system that uses decision tree-based tools for seamless acquisition of knowledge for classification of remotely sensed imagery. We concentrate on three important problems in this process: information fusion, ... -
Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity
(Elsevier Ireland Ltd, 2017)Objective Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its ... -
Machine-based learning system: classification of ADHD and non-ADHD participants
(IEEE, 2017)Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is ... -
Mining of remote sensing image archives using spatial relationship histograms
(IEEE, 2008-07)We describe a new image representation using spatial relationship histograms that extend our earlier work on modeling image content using attributed relational graphs. These histograms are constructed by classifying the ... -
Qualitative test-cost sensitive classification
(Bilkent University, 2008)Decision making is a procedure for selecting the best action among several alternatives. In many real-world problems, decision has to be taken under the circumstances in which one has to pay to acquire information. In ... -
Qualitative test-cost sensitive classification
(Elsevier BV, 2010)This paper reports a new framework for test-cost sensitive classification. It introduces a new loss function definition, in which misclassification cost and cost of feature extraction are combined qualitatively and the ...
