In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Intensive computations required for sensing and processing perceptual information can impose significant burdens on personal computer systems. We explore several policies for sel...
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Interest point detection has a wide range of applications, such as image retrieval and object recognition. Given an image, many previous interest point detectors first assign inte...
Increasingly focus in the software comprehension community is shifting from representing the results of analysis in the graph and database domain to reflecting insights directly i...