We propose a statistical learning model for classifying cognitive processes based on distributed patterns of neural activation in the brain, acquired via functional magnetic resonance imaging (fMRI). In the proposed l...
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this paper represents a method of designing adaptive sliding mode control law for a class of flexible joint manipulators. the method aims at developing and deploying a controller for the system in case of existing dis...
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Complicated manual calculation and drawing often appear in circuit analysis, which brings difficulty to circuit analysis. Manual ways to analysis of the circuit is timeconsuming and laborious, and prone to errors. Pyt...
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the proceedings contain 84 papers. the topics discussed include: data protection as a service in the multi-cloud environment;robust management of trans-cloud applications;an adaptive approach for dealing with flow dis...
ISBN:
(纸本)9781728127057
the proceedings contain 84 papers. the topics discussed include: data protection as a service in the multi-cloud environment;robust management of trans-cloud applications;an adaptive approach for dealing with flow disruption in virtualized water-cooled data centers;cloud VM provisioning using analytical performance models;QuADD : quantifying accelerator disaggregated datacenter efficiency;TrIMS: transparent and isolated model sharing for low latency deep learning inference in function-as-a-service;STRETCH: in-memory storage with autoscaling for cluster computing;exploiting serverless runtimes for large-scale optimization;and non-intrusive cloud application transaction pattern discovery.
this article presents a solution for Speech Emotion recognition (SER) in multilingual setting using a hierarchical approach. the approach involves two levels, the first level identifies the gender of the speaker, whil...
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ISBN:
(纸本)9783031547256;9783031547263
this article presents a solution for Speech Emotion recognition (SER) in multilingual setting using a hierarchical approach. the approach involves two levels, the first level identifies the gender of the speaker, while the second level predicts their emotional state. We evaluate the performance of three classifiers of increasing complexity: k-NN, transfer learning based on YAMNet, and Bidirectional Long Short-Term Memory neural networks. the models were trained, validated, and tested on a dataset that includes the big-six emotions and was collected from well-known SER datasets representing six different languages. Our results indicate that there are differences in classification accuracy when considering all data versus only female or male data, across all classifiers. Interestingly, prior knowledge of the speaker's gender can improve the overall classification performance.
Tamil is one of the world's earliest surviving languages, from which modern Indian scripts draw inspiration. However, there has been limited development of Optical Character recognition techniques for Tamil charac...
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this volume constitutes the thoroughly refereed conferenceproceedings of the 25thinternationalconference on Industrial Engineering and Other Applications of Applied Intelligend Systems, IEA/AIE 2012, held in Dalian...
ISBN:
(数字)9783642310874
ISBN:
(纸本)9783642310867
this volume constitutes the thoroughly refereed conferenceproceedings of the 25thinternationalconference on Industrial Engineering and Other Applications of Applied Intelligend Systems, IEA/AIE 2012, held in Dalian, China, in June 2012. the total of 82 papers selected for the proceedings were carefully reviewed and selected from numerous submissions. the papers are organized in topical sections on machine learning methods; cyber-physical system for intelligent transportation applications; AI applications; evolutionary algorithms, combinatorial optimization; modeling and support of cognitive and affective human processes; natural language processing and its applications; social network and its applications; mission-critical applications and case studies of intelligent systems; AI methods; sentiment analysis for asian languages; aspects on cognitive computing and intelligent interaction; spatio-temporal datamining, structured learning and their applications; decision making and knowledge based systems; patternrecognition; agent based systems; decision making techniques and innovative knowledge management; machine learning applications.
this paper presents an accurate and novel iris segmentation approach. First rough iris region is extracted by boosted Local Binary pattern features classifier. Follow Intensity gradient matrix is then built though gra...
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the SIFT algorithm had a profound impact on the area of image local feature extraction and computer vision, since its inception. Because of its robustness and anti-interference performance, it has been widely applied ...
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Along withthe rapid development of computer technology, people's lives are increasingly dependent on computers. At the same time, the computer system is facing increasingly complex and diverse sabotage and attack...
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