With the continuous development of social software and multimedia technology, images have become a kind important carrier for spreading information socializing. How to evaluate an image comprehensively has focus recent researches. The traditional aesthetic assessment methods often adopt single numerical overall scores, which certain subjectivity can no longer meet higher requirements. In this a...

As it is mentioned in the literature, performance measurement is a multi-perspective concept. For this reason, quantification of performance measurement can be modeled as a multi attribute decision problem. In this study, performance measurement is considered as an evaluation of the past activities with respect to the desired goals. With this definition, first a performance measurement system i...

Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an attribute is that some of the machine learning algorithms perform poorly with continuous attribute and thus require front-end discretization of the input data. The paper describes a Fast Class-Attribute Interdependence Max...

As automated image analysis progresses, there is increasing interest in richer linguistic annotation of pictures, with attributes of objects (e.g., furry, brown. . . ) attracting most attention. By building on the recent “zeroshot learning” approach, and paying attention to the linguistic nature of attributes as noun modifiers, and specifically adjectives, we show that it is possible to tag ima...

Relative attribute represents the correlation degree of one attribute between an image pair (e.g. one car image has more seat number than the other car image). While appearance highly and directly correlated relative attribute is easy to predict, fine-grained or appearance insensitive relative attribute prediction still remains as a challenging task. To address this challenge, we propose a mult...

Multiple deferred state (MDS) sampling plan by attribute in which current lot and future lots information is utilised on sentencing submitted lot, is constructed under the assumption of perfect inspection. But sometimes the inspection may not be free of inspection errors. In this paper, we develop MDS-plan by attribute to the state where misclassification errors exist during the inspection. In ...

Keeping track of continually changing information has been investigated since Yntema & Mueser's (1960) seminal work. The fact that types of mappings between objects and values and of memory load affect performance are well established, but have never been integrated in a theory. As a step toward such a theory, this paper describes a mathematical model that combines a task analysis with a set of...

We previously presented an image registration method, referred to hierarchical attribute matching mechanism for elastic registration (HAMMER), which demonstrated relatively high accuracy in inter-subject registration of MR brain images. However, the HAMMER algorithm requires the pre-segmentation of brain tissues, since the attribute vectors used to hierarchically match the corresponding pairs o...

In this paper, we propose two attribute-oriented authentication and transmission schemes for secure and privacy-preserving health information sharing in health social networks (HSNs). HSN users are tagged with formalized attributes. The attribute-oriented authentication scheme enables each HSN user to generate an attribute proof for itself, where its sensitive attributes are anonymized. By veri...

Attribute reduction (feature selection) has become an important challenge in areas of pattern recognition, machine learning, data mining and knowledge discovery. Based on attribute reduction, one can extract fuzzy decision rules from a fuzzy decision table. As consistency is one of several criteria for evaluating the decision performance of a decision-rule set, in this paper, we devote to prese...