This article describes a semantic parser based on FrameNet semantic roles that uses a broad knowledge base created by interconnecting three major resources: FrameNet, VerbNet and P...
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
In this case study, various ways to partition a code between the microprocessor and FPGA are examined. Discrete image convolution operation with separable kernel is used as the ca...
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...