fusion model
A fusion model used in subsidence prediction in Taiwan
... grey-box model, is adopted in this study with the use of leveling data. A fusion technique is developed to combine the subsidence predicted results from poroelastic and grey models to obtain a spatially and ...
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Two-layer similarity fusion model for cover song identification
... similarity fusion models for the CSI task [22–26] (see Section ...ity fusion model for the CSI task aiming at enhancing the identification accuracy and classification efficiency fur- ...our ...
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Multi Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
... archical fusion model for detecting sarcasm in ...representation fusion, where they are transformed into reconstructed rep- resentation ...modality fusion layer per- forms weighted average to ...
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Text Graph An Enhanced Graph Fusion Model for Document Clustering
... Space Model [6], where vector segments speak to certain element ...a model in view of word recurrence ...graph fusion model. Based on this fusion graph model the documents are ...
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A Deep Fusion Model for Domain Adaptation in Phrase based MT
... translation model adaptation by using both source- and target-side language ...language model instead of an ngram-based language model to do the ...Translation model features were used ...
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Title: A Feature Adaptive Fusion Model for Infant Expression Recognition
... Kernal Adaptive Principal Component Analysis (KPCA) is the feature adaptive model based on the distance relative to the database images. The distance analysis is here applied on the featured imagset. The intensity ...
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Fusion Model for Traffic Sign Detection, Tracking and Recognition
... of fusion are combined for better quality of state. Then we implement fusion strategy by combining several instances for offline training and then training the algorithm ...
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Original Article Three-dimensional finite element analysis of ankle arthrodesis
... the fusion stability of the four fusion models, the maximum surface displace- ment at four different movement modes was ...ankle fusion model was decreased than that of the anterior plate ...
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Comparison of Spatiotemporal Fusion Models for Producing High Spatiotemporal Resolution Normalized Difference Vegetation Index Time Series Data Sets
... spatiotemporal fusion models have been ...reflectance fusion model (STARFM) to blend MODIS and Landsat image to produce a synthetic surface reflectance product at 30 m spatial ...reflectance ...
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Nonlinearity of the forward-backward correlation function in the model with string fusion
... string fusion effects in simplified form by introducing a lattice in the transverse ...string fusion model [5, 6] was introduced in [17] and then was exploited for a description of various phenomena ...
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Vehicle target detection methods based on color fusion deformable part model
... According to the detection principle of vehicle target by DPM and combined with vehicle color information, a vehicle target detection method based on color fusion DPM is proposed. Firstly, the traffic image is ...
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A GUI Model of Secured Fingerprint Authentication Using Image Fusion
... The recovery of fingerprints from a crime scene is an important method of science.Fingerprint recognition is the most popular methods used for identification.This project ex[r] ...
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A GUI Model of Secured Fingerprint Authentication Using Image Fusion
... The recovery of fingerprints from a crime scene is an important method of science.Fingerprint recognition is the most popular methods used for identification.This project ex[r] ...
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The Emotional Impact of Audio - Visual Stimuli
... this model by exploiting temporal information in the video as ...Text model (S2VT model) (Figure 18) adapt captioning for videos by calculating the visual information in the frames similarly to the ...
Deep Reinforcement Learning of the Model Fusion with Double Q learning
... By comparing the changes in average score of two different models, it can be found that after certain training the agent scoring ability is increasing, and the overall score is getting higher and higher. Fig.2 (a) ...
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Mutagenesis of CXCR4 Identifies Important Domains for Human Immunodeficiency Virus Type 1 X4 Isolate Envelope-Mediated Membrane Fusion and Virus Entry and Reveals Cryptic Coreceptor Activity for R5 Isolates
... Mutagenesis of ecl-2 and ecl-3 of CXCR4 yielded more- variable results (Fig. 2). Only replacement of the positively charged arginine residue in ecl-2 (R188A) resulted in signifi- cantly reduced fusion activity for ...
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Applying Score Reliability Fusion to Bi Model Emotional Speaker Recognition
... difference model, the neutral speech for neutral ...high-difference model and other low mismatch part in neutral model respec- tively, fuse them using linear weighted ...
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1. Real time fusion of gestures
... decision-making. Fusion at this level is the most commonly discussed approach primarily due to the ease of accessing and processing match scores (compared to the raw data or the feature set extracted from the ...
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Research of Intelligent Fault Diagnosis Model on Multi-Information Fusion
... information fusion is mainly used in target detection, identification and classification, control decision-making generation, signal transformation, integration, filtering, and synthesis, system diagnosis and ...
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Larger Context Language Modelling with Recurrent Neural Network
... Recently recurrent neural networks have be- come one of the most widely used models in lan- guage modelling (Mikolov et al., 2010). Long short-term memory unit (LSTM, Hochreiter and Schmidhuber, 1997) is one of the most ...
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