This paper describes a case study and design flow of a secure embedded system called ThumbPod, which uses cryptographic and biometric signal processing acceleration. It presents t...
David Hwang, Bo-Cheng Lai, Patrick Schaumont, Kazu...
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
The aim of this paper is to show that machine learning techniques can be used to derive a classifying function for human brain signal data measured by magnetoencephalography (MEG)...
The continuous requirements of evolving a delivered software system and the rising cost of shutting down a running software system are forcing researchers and practitioners to fin...
Junrong Shen, Xi Sun, Gang Huang, Wenpin Jiao, Yan...
Work in progress towards modeling shape statistics of multiobject complexes is presented. Constraints defined by the set of objects such as a compact representation of object shap...
Guido Gerig, Sarang C. Joshi, P. Thomas Fletcher, ...