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Record matching is an essential step in duplicate detection as it identifies records representing same real-world entity. Supervised record matching methods require users to provide training data and therefore cannot be applied for web databases where query results are generated on-the-fly. To overcome the problem, a new record matching method named Unsupervised Duplicate Elimination (UDE) is proposed...
Automated interpretation and classification of functional MRI (fMRI) data is an emerging research field that enables the characterization of underlying cognitive processes with minimal human intervention. In this work, we present a method for automated classification of human thoughts reflected on an event-related paradigm using fMRI modality with significantly shortened data acquisition time (less...
Hyperspectral remote sense image have been used successfully for mineral exploration. The high dimensionality of such images arise various problems like curse of dimensionality and large hypothesis space. In this paper we make an approach to the application of support vector machine theory in rocks/minerals information extraction from EO-1 Hyperion data. The first, we present a feature extraction...
Onboard classification of remote sensing data can permit autonomous, intelligent scheduling decisions without ground interaction. In this study, we observe the sulfur-rich Borup-Fiord glacial springs in Canada with the Hyperion instrument aboard the EO-1 spacecraft. This system offers an analog to far more exotic locales such as Europa where remote sensing of biogenic indicators is of considerable...
Feature selection is a key step in automatic text categorization system and it has a significant impact on classification result. In this paper we do research on mutual information (MI) which is one basic method of feature selection. Firstly, we found out three main problems of MI by analyzing the formula of MI theoretically and systematically the MI loss, the information difference among categories,...
The support vector machine (SVM) classifier is a popular and appealing classifier .It could be improved by taking some transformation about the original data before classification even sometimes its performance is not good,. In our previous paper, two transformations, NWFE-Transformation and Liu-Transformation are considered. The results showed that the SVM with our Liu-Transformation algorithm has...
Based on stating the principle of support vector machine (SVM) classifier, this paper analyses the data collected traits by fixed detectors and the traffic characteristics of freeway chiefly. Also, this paper proposes traffic pattern eigenvectors by data of several continuous time intervals for the single traffic parameter, puts forward multiple SVM classifier fusion models and operation flow, as...
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