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Automated recognition of facial expressions is an important problem in computer vision applications. Due to the vagueness in class definitions, expression recognition is often conceived as a fuzzy label problem. Annotating a data point in such a problem involves significant manual effort. Active learning techniques are effective in reducing human labeling effort to induce a classification model as...
This paper demonstrates an implementation of pool-based active learning through uncertainty sampling using a Variational Dirichlet Process (VDP) model. The VDP is used for both pre-clustering and classification, and is extended to incorporate fixed labels from an oracle (human annotator). Three different uncertainty sampling techniques are explored - least confident sampling, margin sampling and entropy...
The aim of this paper is to develop a new methodology for solving fuzzy multi-attribute decision making problems with subjective and objective information, fuzzy numbers and non-linear normalizing and weighting functions. Contribution of this paper is shown with implementation of a real life example on supplier selection field.
Bow action usually expresses human respect intention. The process of human bow is companied with fuzziness and randomness. Current control methods for virtual human's bow cannot describe the uncertainties. A cloud model based method is proposed to control virtual human's bow action. The method can describe the two uncertainties in the process of bow indicating respect intention. Clouds of maximal...
The process of human's blink expressing deep information of mind has uncertainties of fuzziness and randomness. A cloud theory-based method is proposed to realize uncertainty control of virtual human's blink. Eyes' maximal open angle cloud and blink interval cloud are designed. A cloud-based blink control algorithm is proposed. Results of comparing it with certainty method show that the proposed algorithm...
Zadeh's seminal work in theory of fuzzy-information granulation in human reasoning is inspired by the ways in which humans granulate information and reason with it. This has led to an interesting research topic: granular computing (GrC). Although many excellent research contributions have been made, there remains an important issue to be addressed: What is the essence of measuring a fuzzy-information...
An entropy gain based overall trust degree (OTD) computation model is proposed for large scale trusted networks. To overcome subjectivity in trust decision, attributes' entropies and their gains are adopted to set attribute weights in the OTD fusion model. Attribute weights are dynamically adjusted by refreshing sample set and attribute entropy gains, to adapt to variations of network entities. Under...
Rough set theory is a valid mathematical tool to deal with inexact, uncertain, or vague knowledge. Although some uncertainty measures to evaluate the uncertainty of rough sets have been investigated in ordered information systems, the existing measures are not able to characterize well the imprecision of a rough set. In order to find a new method to measure the roughness of rough sets in ordered information...
Independent Component Analysis (ICA) can be used to decompose functional Magnetic Resonance Imaging (fMRI) data into a set of statistically independent images which are likely to be the sources of fMRI data. After applying ICA, a set of independent components are produced, and then, a “meaningful” subset from these components must be identified, because a large majority of components are non-interesting...
Various disasters have happened continually, and lead to massive loss to the people, loss assessment has become a critical role in alleviating disaster and defending disaster. But uncertainty is often found in disaster loss assessment, due to reasons such as imprecise measurement, outdated sources, or sampling errors. And a nationally consistent approach is absent in disaster loss assessment. In order...
Cognition or thinking involves mental activities or thought process. The complexness of thought process is represented by the complexness of textual information that consists of more distinct pieces of information. Textual information which is in the form of language and symbol are means in representing and communicating information, experiences and ideas. In our research, the textual information...
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