decision-level data fusion
Multimodal decision-level fusion for person authentication
... Abstract—In this paper, the use of clustering algorithms for decision- level data fusion is proposed. Person authentication results coming from several modalities (e.g., still image, speech), ...
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Improving human action recognition using decision level fusion of classifiers trained with depth and inertial data
... skeletal data comprises of the location of 20 joints (as opposed to one inertial sensor), significant information is lost when the dimension of the feature vector (the input to the neural network classifier for ...
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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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Review of Multisensor Data Fusion (MSDF) Modelling and Techniques: Applications on Autonomous Underwater Vehicle (AUV) For Marine Operation Environment
... high level logical proposition used in production rules for logical ...multisensor data fusion (MSDF) technique has four different level of date representation: single level ...
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VPRS based regional decision fusion of CNN and MRF classifications for very fine resolution remotely sensed images
... pixel level is captured, processed and classified into different land cover classes ...such data effectively and to keep pace with the technological advances in remote ...
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Ship Navigation System Based on Wireless Sensor
... state data fusion is used to preprocess the sensor data and verify the ...Feature fusion is based on pattern recognition technology, and the feature is processed by ...tions. Decision ...
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Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance level Multimodal Sentiment Analysis
... We present a novel way of extracting fea- tures from short texts, based on the acti- vation values of an inner layer of a deep convolutional neural network. We use the extracted features in multimodal senti- ment ...
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Decision Level Fusion Based Multimodal Biometric System
... A decision tree consists of a rooted tree which will be directed with a node called root, which is prime and remaining nodes are ...leaves. Decision tree algorithm constructs a decision tree for the ...
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A multimodal biometric recognition system based on decision level fusion for user authentication
... k -NN classifier is a non-parametric discrimination technique [20]. Classification is done by defining the comparison by finding the distance between the objects in the training data, k -NN algorithm finds the k ...
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Feature and Decision Level Fusion Using Multiple Kernel Learning and Fuzzy Integrals
... Big Data, geospatial intelligence, and humanitarian demining, to name a few, is the dilemma of data and information ...of fusion is the underlying mathematics to convert multiple, potentially ...
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An Efficient Score level Multimodal Biometric System using ECG and Fingerprint
... Feature level, the fusion feature set extracted from multiple data sources is combined to create a new feature ...In Decision level fusion, the decision is independent of ...
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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) ...of data fusion based on the abstraction levels are as follows:(1)low level ...
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BIOMETRIC RECOGNITION USING MULTIMODAL TECHNOLOGY
... biometric data than the matching score or the output decision of a matcher, fusion at the feature level is expected to provide better recognition ...However, fusion at this level ...
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Deep learning decision fusion for the classification of urban remote sensing data
... Multisensor 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 ...
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Handheld Sensor Fusion for Landmine Detection Using Metal Detector and GPR
... sensor data which provides multi-dimensional ...GPR data and argues that more information can be obtained about the subsurface which would reduce the ...a decision fusion level ...
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A decision fusion method based on multiple support vector machine system for fusion of hyperspectral and LIDAR data
... on decision fusion strategies to overcome the weak- nesses of single remote sensing sensors (Simone et ...information, fusion of this data with LIDAR data may improve classification ...
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Data fusion techniques for biomedical informatics and clinical decision support
... The experiments performed evaluated the modality discrimination capability of the proposed image-based features computed by correlating the basis functions (see Figure 2) with the unsmoothed HSV histogram (Group 1), ...
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Complementary feature level data fusion for biometric authentication using neural networks
... Score Level: Fusion at this level is the most commonly researched of all fusion levels in multi‐modal biometrics (Poh and Kittler, 2010; Nandakumar, ...the decision module, where the ...
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Texture based vein biometrics for human identification : A comparative study
... Linear Discriminant Analysis (LDA) is a linear method for multi-class classification problems. Unlike logistic regression, it works well for multiclass problems even with fewer samples and well separated classes. It ...
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DATA LEVEL FUSION FOR MULTI BIOMETRIC SYSTEM USING FACE AND FINGER
... for data level ...important data, it is the false acceptance rate that is major concern in such ...the data even the risk of manually examining a large number of potential matches identified ...
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