We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
Abstract— Distributed stream-based applications, such as continuous query systems, have network scale and time characteristics that challenge traditional distributed query optimi...
Jeffrey Shneidman, Peter R. Pietzuch, Matt Welsh, ...
In this paper, we present a new dichromatic-based method for estimating illuminant chromaticity using a single image. In the proposed method, specular pixels are roughly extracted...
— In this paper, we propose an interconnect-driven framework that performs an efficient and effective design space exploration for deep submicron processor architecture design. ...
Mongkol Ekpanyapong, Chinnakrishnan S. Ballapuram,...
This paper introduces a novel resource management approach based on personal service aggregations(PSAs) for smart spaces. As a smart space is usually a sharable system that simult...