PhD Seminar • Software Engineering — Transfer Learning for Improving Model Predictions in Highly Configurable Software
Pavel Valov, PhD candidate
David R. Cheriton School of Computer Science
Pavel Valov, PhD candidate
David R. Cheriton School of Computer Science
Join us for a special event showcasing FileMaker Pro and the new FileMaker 17 Platform.
Discover how to quickly create and use custom apps that work the way you do.
Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science
The wavelet transform has seen success when incorporated into neural network architectures, such as in wavelet scattering networks. More recently, it has been shown that the dual-tree complex wavelet transform can provide better representations than the standard transform.
Pavel Valov, PhD candidate
David R. Cheriton School of Computer Science
Erinn Atwater, PhD candidate
David R. Cheriton School of Computer Science
Philipp Kindermann, Postdoctoral Fellow
David R. Cheriton School of Computer Science
The visual complexity of a graph drawing is defined as the number of geometric objects needed to represent all its edges. In particular, one object may represent multiple edges, e.g., one needs only one line segment to draw two collinear incident edges.
Corwin Sinnamon, Master’s candidate
David R. Cheriton School of Computer Science
Michael Mior, PhD candidate
David R. Cheriton School of Computer Science
Hamed Haddadi, Senior Lecturer and Deputy Director of Research
Dyson School of Design Engineering
Academic Fellow, Data Science Institute, Imperial College London
Vern Paxson
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
Chief Scientist, Corelight, Inc.
Lead, Networking and Security Group, International Computer Science Institute