The incorporation method was employed to produce potassium sodium niobate [KNN] (K0.5Na0.5NbO3) glass ceramics from the KNN-SiO2 system. This incorporation method combines a simple mixed-oxide technique for producing KNN powder and a conventional melt-quenching technique to form the resulting glass. KNN was calcined at 800°C and subsequently mixed with SiO2 in the KNN:SiO2 ratio of 75:25 (mol%)...

Semi-supervised learning is a machine learning paradigm in which the induced hypothesis is improved by taking advantage of unlabeled data. It is particularly useful when labeled data is scarce. Cotraining is a widely adopted semi-supervised approach that assumes availability of two views of the training data a restrictive assumption for most real world tasks. In this paper, we propose a one-vie...

In many advanced database applications (e.g., multimedia databases), data objects are transformed into high-dimensional points and manipulated in high-dimensional space. One of the most important but costly operations is the similarity join that combines similar points from multiple datasets. In this paper, we examine the problem of processing K-nearest neighbor similarity join (KNN join). KNN ...

Xu, Huiqi. M.S., Department of Computer Science and Engineering, Wright State University, 2012. kNN-R: Building Secure and Efficient Outsourced kNN Query Service with the RASP encryption. With the wide deployment of public cloud computing infrastructures, outsourcing database services to the cloud has become an appealing solution to save operating expense. However, some databases might be so se...

The exploration of how human beings react to the world and interact with it and each other remains one of the greatest scientific challenges. The ability to recognize affective states of a person we face is the core of emotional intelligence. In the past, several classifiers were adopted independently and tested on several emotional speech corpora with different language, size, number of emotio...

We applied a multi-class k-nearest-neighbor based text classiication algorithm to the adap-tive and batch ltering problems in the TREC-9 ltering track. While our systems performed well in the batch ltering tasks, they did not perform as well in the adaptive ltering tasks, in part because we did not have an adequate mechanism for taking advantage of the relevance feedback information provided by...

Feature means countenance, remote sensing scene objects with similar characteristics, associated to interesting scene elements in the image formation process. They are classified into three types in image processing, that is low, middle and high. Low level features are color, texture and middle level feature is shape and high level feature is semantic gap of objects. An image retrieval system i...