Information Integration using Information Theoretic Techniques
نویسنده
چکیده
The problem of data and information integration is widespread and growing in government and industry, and it is getting worse as legacy systems continue to appear. The absence of efficient large-scale practical solutions to the problem, and the promise of especially the information theoretic techniques on comparing sets of data values, make this an extremely rewarding and potentially high-payoff area for future research.
منابع مشابه
3D Classification of Urban Features Based on Integration of Structural and Spectral Information from UAV Imagery
Three-dimensional classification of urban features is one of the important tools for urban management and the basis of many analyzes in photogrammetry and remote sensing. Therefore, it is applied in many applications such as planning, urban management and disaster management. In this study, dense point clouds extracted from dense image matching is applied for classification in urban areas. Appl...
متن کاملIntegration and Reduction of Microarray Gene Expressions Using an Information Theory Approach
The DNA microarray is an important technique that allows researchers to analyze many gene expression data in parallel. Although the data can be more significant if they come out of separate experiments, one of the most challenging phases in the microarray context is the integration of separate expression level datasets that have gathered through different techniques. In this paper, we prese...
متن کاملImprovement of Navigation Accuracy using Tightly Coupled Kalman Filter
In this paper, a mechanism is designed for integration of inertial navigation system information (INS) and global positioning system information (GPS). In this type of system a series of mathematical and filtering algorithms with Tightly Coupled techniques with several objectives such as application of integrated navigation algorithms, precise calculation of flying object position, speed and at...
متن کاملData and Knowledge Integration for Egovernment
Data integration is one of the most significant IT problems facing government today. Using information technology, government agencies have collected vastly more data than was ever possible to collect before. Unfortunately, for lack of standardization, most government data today exists in thousands of different formats and resides in hundreds of systems and versions, spread across dozens of age...
متن کاملAn Information-Theoretic Discussion of Convolutional Bottleneck Features for Robust Speech Recognition
Convolutional Neural Networks (CNNs) have been shown their performance in speech recognition systems for extracting features, and also acoustic modeling. In addition, CNNs have been used for robust speech recognition and competitive results have been reported. Convolutive Bottleneck Network (CBN) is a kind of CNNs which has a bottleneck layer among its fully connected layers. The bottleneck fea...
متن کامل