As power density increases exponentially, run-time regulation of operating temperature by dynamic thermal management becomes imperative. This paper proposes a novel approach to re...
Hang Li, Pu Liu, Zhenyu Qi, Lingling Jin, Wei Wu, ...
We propose an algorithm to perform causal inference of the state of a dynamical model when the measurements are corrupted by outliers. While the optimal (maximumlikelihood) soluti...
Andrea Vedaldi, Hailin Jin, Paolo Favaro, Stefano ...
Coherence misses in shared-memory multiprocessors account for a substantial fraction of execution time in many important scientific and commercial workloads. Memory streaming prov...
Thomas F. Wenisch, Stephen Somogyi, Nikolaos Harda...
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
We present here Extended Markov Tracking (EMT), a computationally tractable method for the online estimation of Markovian system dynamics, along with experimental support for its ...