Special Region of Yogyakarta is one of the Indonesian regions with high seismic activity. Subduction zones and onland fault structures influence these activities. One of onland fault structures that affect this region...
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In natural environments, bird sounds are often accompanied by background noise, so denoising becomes crucial to automated bird sound recognition. Recently, thanks to neural network embeddings, the deep clustering meth...
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ISBN:
(数字)9781728161365
ISBN:
(纸本)9781728161372
In natural environments, bird sounds are often accompanied by background noise, so denoising becomes crucial to automated bird sound recognition. Recently, thanks to neural network embeddings, the deep clustering method has achieved better performances than traditional denoising methods, like filter-based methods, due to its ability to solve the problem when noise is in the same frequency range as bird sounds. In this paper, we propose a generalized denoising method based on deep clustering, which can process more complex recordings with less distortion. Also, we optimize the original affinity loss function to get a novel loss function to ensure the embedding vectors withthe minimum distance belong to the same source, named Joint Center Loss (JCL), which can both increase the inter-class variance and decrease the intra-class variance of embeddings. Experiments are conducted on the gated convolutional neural network architecture and the bidirectional long short term memory architecture respectively with different loss functions. Given the signal-noise ratio being -3dB, the recognition accuracy increases relatively by 9.5% withthe proposed denoising method in the best case, and the Relative Root Mean Square Error (RRMSE) increases relatively by 14.2% by using JCL, compared withthe original affinity loss function AL.
Researchers in image processing and patternrecognition proposed several formal models to generate and recognize two dimensional picture languages. In this paper local and recognizable triangular picture languages are...
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Researchers in image processing and patternrecognition proposed several formal models to generate and recognize two dimensional picture languages. In this paper local and recognizable triangular picture languages are considered and a new method to identify such pictures by two dimensional online tessellation automata is presented.
this paper proposes atmosphere sharing method with chatting agent during TV watching in order to improve user’s motivation for conversation withthe agent. Dialogue agents like interactive robots which include physic...
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the current analysis of computer forensics is still dependent on the investigation personnel, leading to the problem of heavy workload and low efficiency. At the same time, computer evidences have the characteristics ...
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the proceedings contain 229 papers. the special focus in this conference is on Artificial Intelligence and Security. the topics include: Detection of Microblog Overlapping Community Based on Multidimensional Informati...
ISBN:
(纸本)9783030242732
the proceedings contain 229 papers. the special focus in this conference is on Artificial Intelligence and Security. the topics include: Detection of Microblog Overlapping Community Based on Multidimensional Information and Edge Distance Matrix;research on Settlement Deformation of Asphalt Pavement Structure in Soft Soil Zone Based on Pavement Settlement theory;legal Case Inspection: An Analogy-Based Approach to Judgment Evaluation;a Novel Noise Filter Based on Multiple Voting;fuzzy Control Method for Path Tracking System of Combine Harvester;research on Opinion Spam Detection by Time Series Anomaly Detection;application of Machine Learning Methods for Material Classification with Multi-energy X-Ray Transmission Images;Intra-class Classification of Architectural Styles Using Visualization of CNN;MSE-Net: Pedestrian Attribute recognition Using MLSC and SE-Blocks;NOAA-LSTM: A New Method of Dialect Identification;CBAM-GAN: Generative Adversarial Networks Based on Convolutional Block Attention Module;a Novel Distributed Knowledge Reasoning Model;Research on Detection Method of Abnormal Traffic in SDN;Research on Constructing Technology of Implicit Hierarchical Topic Network Based on FP-Growth;PPD-DL: Privacy-Preserving Decentralized Deep Learning;towards Edge Computing Based Distributed Data Analytics Framework in Smart Grids;android Malware Identification Based on Traffic Analysis;unsupervised Traditional Chinese Medicine Text Segmentation Combined with Domain Dictionary;research on the Efficiency and Application of Ship-Helicopter Cooperative Search;cellular Neural Network Based Contour Detection for Seismic Image;Evaluation Method of Teachers’ Teaching Ability Based on BP Neural Network;discovering New Sensitive Words Based on Sensitive Information Categorization;a Dynamic Event Region Tracking Approach Based on Node Calibration;a Tutorial of Graph Representation.
this review article provides a vast study on automated recognition of co-located patterns in video streaming. Traditionally numerous glitches such as face recognition, pattern or object recognition, scene understandin...
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this review article provides a vast study on automated recognition of co-located patterns in video streaming. Traditionally numerous glitches such as face recognition, pattern or object recognition, scene understanding, co-located patternrecognition etc., have emerged through practices in patternrecognition domain. Our review study, purposes delivering an all-inclusive state-of-the-art review in the domain, and also discourses numerous encounters and trials in relation with its applications and its system. In this assessment, several applications are conversed in boundless aspect.
作者:
Yuan CaiKai ShiFei SongYifan XuXiming WangHeyu LuanCoege of Counicions Engineering
Ary Engineering Universiy of PLAPLA 31121 TroosCoege of Counicions Engineering Ary Engineering Universiy of PLACoege of Counicions Engineering Ary Engineering Universiy of PLACoege of Counicions Engineering Ary Engineering Universiy of PLACoege of Counicions Engineering Ary Engineering Universiy of PLA
It is very important for communication equipment to realize the recognition and prediction of jamming signals in a short time. In the communication environment with variable jamming mode and noise, it is very difficul...
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ISBN:
(数字)9781728147437
ISBN:
(纸本)9781728147444
It is very important for communication equipment to realize the recognition and prediction of jamming signals in a short time. In the communication environment with variable jamming mode and noise, it is very difficult to achieve rapidly jamming recognition. To solve this problem, this paper constructs a spectrum waterfall containing white gaussian noise signals, designs a jamming patternrecognition method based on deep learning, and realizes rapid recognition of jamming patterns and important parameters. Simulation results show that the training process of this method has considerable accuracy and the test process has high recognition rate.
Tracking-by-detection is a popular tracking framework nowadays. the paradigm determines that detections will bring huge impact on the final tracking result. Based on the idea, to improve the tracking precision, we pro...
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