This paper proposes a kernel-blending connection approximated by a neural network(KBNN)for image classification.A kernel mapping connection structure,guaranteed by the function approximation theorem,is devised to blen...This paper proposes a kernel-blending connection approximated by a neural network(KBNN)for image classification.A kernel mapping connection structure,guaranteed by the function approximation theorem,is devised to blend feature extraction and feature classification through neural network learning.First,a feature extractor learns features from the raw images.Next,an automatically constructed kernel mapping connection maps the feature vectors into a feature space.Finally,a linear classifier is used as an output layer of the neural network to provide classification results.Furthermore,a novel loss function involving a cross-entropy loss and a hinge loss is proposed to improve the generalizability of the neural network.Experimental results on three well-known image datasets illustrate that the proposed method has good classification accuracy and generalizability.展开更多
癫痫是一种慢性神经系统疾病,其分类广泛、机制复杂,具有反复发作和不可预测的特点,对患者的生活造成了一定的影响。深度了解其病理生理机制对疾病的治疗和提高患者生活质量十分重要,静息态功能磁共振成像(resting-state functional mag...癫痫是一种慢性神经系统疾病,其分类广泛、机制复杂,具有反复发作和不可预测的特点,对患者的生活造成了一定的影响。深度了解其病理生理机制对疾病的治疗和提高患者生活质量十分重要,静息态功能磁共振成像(resting-state functional magnetic resonance imaging,rs-fMRI)现已成为探究癫痫脑功能改变的有效方法。目前基于rs-fMRI研究癫痫的数据分析方法主要有低频振幅(amplitude of low frequency fluctuation,ALFF)、局部一致性(regional homogeneity,ReHo)、功能连接(function connection,FC)和图论分析。本文将对rs-fMRI的各种分析方法在癫痫中的应用作一综述,为癫痫的病理生理机制及术前定位、治疗提供重要参考。展开更多
体系结构是装备体系开发的前提。针对装备体系特点,借鉴美国国防部体系架构框架(depart-ment of defense architecture framework,DoDAF)建立了一个基于功能和联接的装备体系结构框架,并且在此框架下提出了基于功能和联接的装备体系结...体系结构是装备体系开发的前提。针对装备体系特点,借鉴美国国防部体系架构框架(depart-ment of defense architecture framework,DoDAF)建立了一个基于功能和联接的装备体系结构框架,并且在此框架下提出了基于功能和联接的装备体系结构建模方法。该方法通过分析装备体实体及其关系,给出了一种装备体系结构不同视图产品的开发流程。最后,以航母体系的典型任务为例进行了实例分析,验证了框架和方法的可行性。展开更多
基金the National Natural Science Foundation of China(Grant Nos.61972227 and 61672018)the Natural Science Foundation of Shandong Province(Grant No.ZR2019MF051)+1 种基金the Primary Research and Development Plan of Shandong Province(Grant No.2018GGX101013)the Fostering Project of Dominant Discipline and Talent Team of Shandong Province Higher Education Institutions。
文摘This paper proposes a kernel-blending connection approximated by a neural network(KBNN)for image classification.A kernel mapping connection structure,guaranteed by the function approximation theorem,is devised to blend feature extraction and feature classification through neural network learning.First,a feature extractor learns features from the raw images.Next,an automatically constructed kernel mapping connection maps the feature vectors into a feature space.Finally,a linear classifier is used as an output layer of the neural network to provide classification results.Furthermore,a novel loss function involving a cross-entropy loss and a hinge loss is proposed to improve the generalizability of the neural network.Experimental results on three well-known image datasets illustrate that the proposed method has good classification accuracy and generalizability.
文摘癫痫是一种慢性神经系统疾病,其分类广泛、机制复杂,具有反复发作和不可预测的特点,对患者的生活造成了一定的影响。深度了解其病理生理机制对疾病的治疗和提高患者生活质量十分重要,静息态功能磁共振成像(resting-state functional magnetic resonance imaging,rs-fMRI)现已成为探究癫痫脑功能改变的有效方法。目前基于rs-fMRI研究癫痫的数据分析方法主要有低频振幅(amplitude of low frequency fluctuation,ALFF)、局部一致性(regional homogeneity,ReHo)、功能连接(function connection,FC)和图论分析。本文将对rs-fMRI的各种分析方法在癫痫中的应用作一综述,为癫痫的病理生理机制及术前定位、治疗提供重要参考。
文摘体系结构是装备体系开发的前提。针对装备体系特点,借鉴美国国防部体系架构框架(depart-ment of defense architecture framework,DoDAF)建立了一个基于功能和联接的装备体系结构框架,并且在此框架下提出了基于功能和联接的装备体系结构建模方法。该方法通过分析装备体实体及其关系,给出了一种装备体系结构不同视图产品的开发流程。最后,以航母体系的典型任务为例进行了实例分析,验证了框架和方法的可行性。
