data in-features out fusion
Spatial and visual data fusion for capturing, retrieval, and modeling of as-built building geometry and features
... the fusion of the spatial and visual data have not been well investigated for capturing, retrieving, and modeling as- built building ...and features. Spe- cifically, an overall fusion-based ...
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Review of Multisensor Data Fusion (MSDF) Modelling and Techniques: Applications on Autonomous Underwater Vehicle (AUV) For Marine Operation Environment
... level fusion, it can be stated that with an increasing data processing, the accuracy of the object determination is ...level fusion techniques (hybrid fusion and cued fusion) for ...
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Probabilistic Fusion of Gait Features for Biometric Verification
... Data fusion combines metrics from various techniques to build one single identification score [4, 5, ...allow data fusion, also only static fusion rules are used and no consideration is ...
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Leveraging machine learning to extend Ontology Driven Geographic Object Based Image Analysis (O GEOBIA): a case study in forest type mapping
... fusing data from multiple sensors, the number of feature variables is increased and object identification becomes a challenging ...photo-interpretation data are fused for feature extraction and ...spatial ...
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Fused Features Classification for the Effective Prediction of Chronic Kidney Disease
... selected data should lead to the improved accuracy in identifying CKD and reference (non-CKD) ...same data set. These features can be fused together to obtain the final set of ...This fusion ...
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Fusion of Multiple Features and Ranking SVM for Web based English Chinese OOV Term Translation
... translated into “三八红旗手”, rather than “女 子的步伐” (women’s pace) or “制定” (estab- lishment) given by Google Translate. (3) The proposed model is sensitive to the notability degree of OOV term. This phenomenon is the main ...
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Fusion at Features Level for MRI Image Segmentation
... carried out by a statistical modelling ...volume data using the geometric active model with level set theory and then extract the region of an object from a given volume ...
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SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES
... of data is a major issue when developing predictive models because diverse student data from different perspectives is ...redundant data is removed through features ...of data sets. ...
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Data mining and fusion
... the data used in DIID will be non-textual, for example, satellite imagery, video surveillance footage, or photographs of the symptoms of a disease in the various stages of its ...significant features of ...
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SMOKE DETECTION BASED ON IMAGE PROCESSING BY USING GREY AND TRANSPARENCY FEATURES
... visual features that gave are good results but high ...feature fusion using Radio- Frequency Identification (RFID) that used one or array of a microphone for data acquisition which depend only on the ...
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Data fusion, a multidisciplinary technique
... of data with consideration of spurious data and traffic ...Bayesian data fusion approach, combined with the Gaussian mixture model, is used to fuse the travel time data, which are ...
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Speech and Iris based Multimodal Biometric System
... noisy data, interclass variations, non-universality and spoof attacks, multimodal systems are proved to be more accurate and reliable due to multiple sources of ...the fusion of speech and iris modalities ...
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A NEXT-GEN DATA FUSION ? BIG DATA FUSION
... input/output data types and their nature, as proposed by Dasarathy [4]; (1)data in-data out (DAI-DAO): this type is the most basic or elementary data fusion method that is ...
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Advanced Classification of Lands at TM and Envisat Images of Mongolia
... many features have similar spectral characteristics and it is not easy to separate them by the use of common feature combinations or by applying or- dinary ...reliable features derived from multi- ple ...
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HiGRU: Hierarchical Gated Recurrent Units for Utterance Level Emotion Recognition
... tures fusion (HiGRU-f), and HiGRU with self- attention and features fusion ...of data im- balance issue, we follow (Khosla, 2018) to train our models by minimizing a weighted categorical ...
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A Technique for Malicious Node Detection for Adaptive Data Fusion in Wireless Sensor Networks
... Secure Hierarchical in-Network Aggregation in Sensor Network: ACM conf computer and comm security (ACM CCS 06) [1] ,The network aggregation is the process of performing queries on sensor network data. Most of time ...
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<p>Diagnosis and Surgical Treatment and Pathological Findings of Solid Pseudopapillary Tumor of the Pancreas: A Single-Institution Experience</p>
... carried out a total abdomen computed tomography (CT) scan to rule out ...acquired data from electronic medical ...Continuous data are expressed as means ± standard deviation ...continuous ...
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Photophysical Features of Phthalocyanines Metallocomplexes with Out of Plane Ligands
... 1 data, photophysical characteristics of all investigated compounds are more sensitive to the heavy atom effect than the effect of out-of-plane ligands ...of out-of-plane ligands substitution in ...
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Research on Intelligent Vehicle Pedestrian Detection Technology
... Pedestrian detection of the main line of thought is the middle of the framework of the order, the left and right sides of the middle of the process. It can be seen from the above figure that after the picture is input, ...
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A common data fusion framework for space robotics : architecture and data fusion methods
... fused data products to ...localisation data into the format required by OG2, (3) Interface with the OG4 Instrument Control Unit (ICU) to configure a limited set of operational modes, (4) Interface with the ...
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