In many retail situations, customers today face vast assortments and often have limited ability to find exactly what they need. By implementing a need-based toolkit for assortment matching, retailers can limit this complexity of choice, increasing the satisfaction of consumers with the goods acquired. Building such a need-based system however is costly and time-consuming, as expert knowledge an...

abstract among different water usage in iran, agricultural sector with 94 percent is the largest water user. considering the share of agriculture in water usage, farmers are the main factor in water resources management. therefore, optimal utilization of irrigation and drainage networks would depend on farmers’ effective role. due to the limited water resources in different country regions, inc...

Quasi-orthogonal space-time block codes (QO-STBCs) are proposed for long-code WCDMA systems which exploit the subspace structure of the long-code WCDMA transmission. QOSTBCs achieve full code rate at the expense of loss in diversity gain. In this paper, we propose a feedback method for QO-STBCS in WCDMA to achieve full diversity and full code rate. The bit error rate (BER) performance for the p...

We propose a method to perform adaptive transfer of visual category knowledge from labeled datasets acquired in one image domain to other environments. We learn a representation which minimizes the effect of shifting between source and target domains using a novel metric learning approach. The key idea of our approach to domain adaptation is to learn a metric that compensates for the transforma...

We introduce a facial deformation system that helps the character setup process and gives artists the possibility to manipulate models as if they were using a puppet. The method uses a set of labels that define specific facial features and deforms the rig anthropometrically. We find the correspondence of the main attributes of a generic rig, transfer them to different 3D face models and automat...

A basic assumption in traditional machine learning is that the training and test data distributions should be identical. This assumption may not hold in many situations in practice, but we may be forced to rely on a different-distribution data to learn a prediction model. For example, this may be the case when it is expensive to label the data in a domain of interest, although in a related but ...

Any system that learns how to lter documents will suuer poor performance during an initial training phase. One way of addressing this problem is to exploit lters learned by other users in a collaborative fashion. We investigate \direct transfer" of learned lters in this setting|a limiting case for any collab-orative learning system. We evaluate the stability of several diierent learning methods...

This paper investigates the problem of automatically annotating resources with NP coreference information using a parallel corpus, English-Romanian, in order to transfer, through word alignment, coreference chains from the English part to the Romanian part of the corpus. The results show that we can detect Romanian referential expressions and coreference chains with over 80% F-measure, thus usi...

The Under Secretary for Health asked the Health Services Research and Development (HSR&D) service to identify the managed care principles that would enable The Department of Veterans Affairs (VA) to most improve its efficiency and effectiveness while retaining its unique mission. In response to this request, HSR&D's Management Decision & Research Center (MDRC) prepared this article. This articl...

We propose an optimization and generalization of OT extension of Ishai et al. of Crypto 2003. For computational security parameter k, our OT extension for short secrets offers O(log k) factor performance improvement in communication and computation, compared to prior work. In concrete terms, for today’s security parameters, this means approx. factor 2-3 improvement. This results in correspondin...