This book provides an overview of information fusion technologies, state-of-the-art techniques and their applications. It covers a variety of essential information fusion methods based on different techniques, including sparse/collaborative representation, kernel strategy, Bayesian models, metric learning, ...
当当网图书频道在线销售正版《信息融合:机器学习方法(英文版) Information Fusion: Machine Learning Methods》,作者:Jinxing Li ,出版社:高等教育出版社。最新《信息融合:机器学习方法(英文版) Information Fusion: Machine Learning Methods》简介、书评、试读
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data SourcesEarth scienceEarth observationInformation fusionData fusionMachine learningCloud computingGap fillingRemote sensingMultisensor fusion
(G) system product.First,when the estimation of the mean life of the system and the estimation of the reliability of the system can obtain from the multi-sources of prior information,we give two fusion methods that the Hierarchical Bayes method and the EB method for these data and attain ...
For practical human-computer interaction systems, the performance of multi-modal information fusion largely relies on the accuracy of the single-modal information identification and the design of the interactive system. We present a practical example of multi-modal information fusion system, and discuss...
Information fusion refers to the combination of diverse modalities in order to achieve an optimal outcome. This concept is commonly used in medical practice, where multiple sources of information are leveraged to enhance the certainty of a diagnosis. In the field of machine learning and deep learnin...
Among all the methods based on decision-level fusion, the precision of these models was at a relatively high level, which is explained as follows. First, after pre-training and parameter optimization, the SVM model showed an excellent learning effect on data samples, which was reflected in the...
The paper considers the possibility of boosting efficiency of the AdaBoost algorithm by introducing diversity in the information extraction procedures and subsequent information fusion. A given raw data set is transformed by two well known methods known as vector autoscaling and dimensional autoscaling....
In this work, a new information fusion method for multi-target formation intention recognition is developed, which combines the advantages of deep learning and Dempster–Shafer theory. This method firstly construct the deep learning networks and design the corresponding conversion methods to obtain the ...
Information fusion is not an end in itself but studies, adapts, applies and combines methods, techniques and algorithms provided by many other research areas, such as artificial intelligence, data mining, machine learning and optimization, in order to customize solutions for specific tasks. There ...