Decision Fusion
Hybrid Data and Decision Fusion Techniques for Model-Based Data Gathering in Wireless Sensor Networks
... This work addressed the problem of the distributed iden- tification of parameters of PDE models for environmental monitoring in wireless sensor networks. In a source free environment, PDE models allow a compact ...
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Decision fusion framework for hyperspectral image classification based on Markov and conditional random fields
... novel decision fusion methodologies for hyperspectral image classification in remote sensing, addressing the high dimensionality versus the scarcity of ground truth information, the mixture of materials ...
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Improving speaker identification in noise by subband processing and decision fusion
... Results presented in this paper demonstrate that subband processing used with decision fusion offers enormously improved speaker identification performance, compared to a wideband system, in the face of ...
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Using decision fusion methods to improve outbreak detection in disease surveillance
... their decision fusion models in their own context of use, with their own data and especially by testing the different diseases habitually faced by their ...
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Deep learning decision fusion for the classification of urban remote sensing data
... data fusion is one of the most common and popular remote sensing data classification topics by considering a robust and complete description about the objects of inter- ...learning decision fusion ...
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Decision Fusion and Reliability Control in Handwritten Digit Recognition System
... first decision fusion phase, we used rule-based cooperation scheme in order to provide as high as possible recognition rate, keeping misclassification rate as low as ...second decision fu- sion ...
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VPRS based regional decision fusion of CNN and MRF classifications for very fine resolution remotely sensed images
... regional decision fusion process is based on the CNN classification results, and the MLP-MRF is only trusted at the regions where the CNN is less believable ...a fusion decision strategy ...
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Multi-Look SAR ATR Using Two-Level Decision Fusion of Neural Network and Sparse Representation
... classifier fusion strategy is an effective way to improve the recognition rate [3], and it has been adopted in SAR ATR [4, ...information fusion is a key point in SAR ATR, which mainly lies on two aspects: ...
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A decision fusion method based on multiple support vector machine system for fusion of hyperspectral and LIDAR data
... Bayesian decision fusion strategy has been successfully applied in diverse fields ranging from pattern recognition (handwritten digit/character recognition and image recognition), to medical diagnosis and ...
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Zero-Day Aware Decision Fusion-Based Model for Crypto-Ransomware Early Detection
... Several studies have been conducted to propose CRW detection solutions. Ahmadian, et al. [10] adopted the signature-based approach to detect the Domain Generation Algorithm (DGA) strings in the ransomware payload. This ...
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Reliability-Based Decision Fusion in Multimodal Biometric Verification Systems
... score-based fusion schemes ought to be ...the fusion algorithm rarely made use of less reliable face data (see Table 5), and consequently the fusion results sport a limited improvement over speech ...
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A NEXT-GEN DATA FUSION ? BIG DATA FUSION
... Information fusion typically addresses three levels of abstraction: (1) measurements, (2) characteristics, and (3) ...data fusion based on the abstraction levels are as follows:(1)low level fusion: ...
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Comparative Study of Feature Level and Decision Level Fusion in Multimodal Biometric Recognition of Face, Ear and Iris
... of decision level fusion and feature level fusion of multi-biometric recognition ...level fusion in little different way to the comparison of conventional feature ...feature fusion is ...
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Decision Level Fusion Based Multimodal Biometric System
... final decision classifier proposed in this case, which makes a decision fusion based on the individual decisions provided by each ...the decision at every level is further fused to give the ...
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A Prediction Model for Child Development Analysis using Naive Bayes and Decision Tree Fusion Technique – NB Tree
... It represents the concept of decision tree, that allow for classification for an object by testing its value for certain properties. The Naive Bayes classifier is based on the Bayesian theorem and is particularly ...
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Bimolecular Complementation of Paramyxovirus Fusion and Hemagglutinin-Neuraminidase Proteins Enhances Fusion: Implications for the Mechanism of Fusion Triggering
... versus fusion promotion provide support for both models of fusion ...and fusion promotion has been shown for MeV, NiV, and HeV (1, 2, 5, 13, 46, ...and fusion promotion has been shown for NDV ...
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Gemination, Fusion or Confusion: A Tooth Nomenclature Enigma for Fusion, Gemination.
... computer. Fusion is defined as a single enlarged tooth or joined teeth in which the tooth count reveals a missing tooth when the anomalous tooth is counted as ...between fusion and ...
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Hot Fusion vs Cold Fusion for Malware Detection
... for the hot fusion approach. However, the accuracy of the generic models kept decreasing as we went higher in stages. Therefore, at stage 10, we achieved 67.41% accuracy, where we combined all the ten malware ...
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From Data Fusion to Knowledge Fusion
... For each extracted triple, we keep rich provenance information, including which extractor was used to extract it, which URL the triple is extracted from, what is the context for each extraction, and so on. Some ...
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Mutations in the fusion peptide and heptad repeat regions of the Newcastle disease virus fusion protein block fusion.
... 7654 Downloaded from http://jvi.asm.org/ on November 9, 2019 by guest Nonconservative mutations were introduced by site-specific mutagenesis into the fusion peptide and the adjacent hept[r] ...
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