A typical recognition system consists of a sequential combination of two experts, called a detector and classifier respectively. The two stages are usually designed independently, but we show that this may be suboptimal due to interaction between the stages. In this paper we consider the two stages holistically, as components of a multiple classifier system. This allows for an optimal design th...

Optoelectronic devices such as vertical cavity surface emitting lasers (VCSEL’s) generate large heat power densities on the order of 100’s of Wlcd . A novel device structure consisting of a two-stage monolithically integrated thin film thermionic and thermoelectric cooler is proposed to accommodate these cooling requirements. By optimizing the geometry of each stage, improved heat spreading can...

Testing and deploying mobile wireless networks and applications are very challenging tasks, due to the network size and administration as well as node mobility management. Well known simulation tools provide a more flexible environment but they do not run in real time and they rely on models of the developed system rather than on the system itself. Emulation is a hybrid approach allowing real a...

This paper presents the design and implementation details of an email synthesizer using two-stage stochastic natural language generation, where the first stage structures the emails according to sender style and topic structure, and the second stage synthesizes text content based on the particulars of an email structure element and the goals of a given communication for surface realization. The...

Typical automotive air conditioning refrigeration systems employ thermostatic expansion valve or orifice tube controls in a single stage refrigerant circuit. A new automotive air conditioning compressor has been developed that has a two stage compression process, which makes designing and producing a two stage refrigerant circuit more practical. Since this compressor can function in a single st...

This paper describes the systems with which we participated in the task Sentiment Analysis in Twitter of SEMEVAL 2013 and specifically the Message Polarity Classification. We used a 2-stage pipeline approach employing a linear SVM classifier at each stage and several features including BOW features, POS based features and lexicon based features. We have also experimented with Naive Bayes classi...

A new system to segment and label CT/MRI brain slices using feature extraction and unsupervised clustering is presented. Each volume element (voxel) is assigned a feature pattern consisting of a scaled family of diierential geometrical invariant features. The invariant feature pattern is then assigned to a speciic region using a two-stage neural network system. The rst stage is a self-organizin...

This paper examines the wide-spread practice where data envelopment analysis (DEA) efficiency estimates are regressed on some environmental variables in a secondstage analysis. In the literature, only two statistical models have been proposed in which second-stage regressions are well-defined and meaningful. In the model considered by Simar and Wilson (2007), truncated regression provides consi...

‎in this paper, we present a two-stage model for ranking of decision making units (dmus) using interval analytic hierarchy process (ahp). since the efficiency score of unity is assigned to the efficient units, we evaluate the efficiency of each dmu by basic dea models and calculate the weights of the criteria using proposed model. in the first stage, the proposed model evaluates decision making...