Semantic attributes have been proposed to bridge the semantic gap between low-level feature representation and high-level semantic understanding of visual objects. Obtaining a good representation of semantic attributes usually requires learning from high-dimensional low-level features, which often suffers from the curse of dimensionality. Designing a good feature-selection approach would benefi...

Most of data in Multi-attribute decision making (MADM) problems are changeable rather than constant and stable. Therefore, sensitivity analysis after problem solving can effectively contribute to making accurate decisions. In this paper, we offer a new method for sensitivity analysis in multi-attribute decision making problems in which if the weights of one attribute changes, then we can determ...

Vast amounts of artistic data is scattered on-line from both museums and art applications. Collecting, processing and studying it with respect to all accompanying attributes is an expensive process. With a motivation to speed up and improve the quality of categorical analysis in the artistic domain, in this paper we propose an efficient and accurate method for multi-task learning with a shared ...

the present research proposes and optimizes the performance of a novel solar-driven combined cooling, heating, and power (cchp) kalina system for two seasons—winter and summer—based on exergy, exergo-economic, and exergo-environmental concepts applying a non-dominated sort genetic algorithm-ii (nsga-ii) technique. three criteria, i.e. daily exergy efficiency, total product cost rate, and total ...

For two years, we have been involved in a challenging project to develop a new architecture for an industrial transportation system. The motivating quality attributes to develop this innovative architecture were flexibility and openness. Taking these quality attributes into account, we proposed a decentralized architecture using multiagent systems (MASs). A MAS consists of multiple autonomous e...

To facilitate the analysis of real and simulated data on groups, organizations and societies, tools and measures are needed that can handle relational or network data that is multi-mode, multi-link and multi-time period in which nodes and edges have attributes with possible data errors and missing data. The integrated CASOS dynamic network analysis toolkit described in this paper is an interope...

strategic environmental assessment can be viewed as a process to integrate the concept ofsustainable development into planning. in this context, sea can be regarded as a method that regulates theplanning process to a state of sustainable development. however, to reach that goal it is necessary to achieve full integration of planning and the sea process.therefore this paper considers the integra...