Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
— We consider wireless sensor networks with multiple gateways and multiple classes of traffic carrying data generated by different sensory inputs. The objective is to devise joi...
Ioannis Ch. Paschalidis, Wei Lai, David Starobinsk...
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
We consider a portfolio allocation problem where the objective function is a tail event such as probability of large portfolio losses. The dependence between assets is captured th...
In this paper, we propose a fully automatic dynamic scratchpad memory (SPM) management technique for instructions. Our technique loads required code segments into the SPM on deman...
Bernhard Egger, Chihun Kim, Choonki Jang, Yoonsung...