ESWC法国总部主席Renaud De La Baume先生于2月2日到4日访问北京,并对中国赛区的各项准备工作进行了考察,并与中华全国体育总会的相关领导就赛事筹备、执行等多方面工作交换了意见。ESWC中国赛区指定会刊《电子竞技》于2月3日对Renaud D...ESWC法国总部主席Renaud De La Baume先生于2月2日到4日访问北京,并对中国赛区的各项准备工作进行了考察,并与中华全国体育总会的相关领导就赛事筹备、执行等多方面工作交换了意见。ESWC中国赛区指定会刊《电子竞技》于2月3日对Renaud De La Baume先生(以下简称Renaud)进行了独家专访。展开更多
设{X_i,i≥1}是一严平稳零均值LPQD随机变量序列,0<EX_1~2<∞,σ~2=EX_1~2+sum from j=2 to ∞(E(X_1X_j)),并且0<σ~2<∞,令S_n=sum from i=1 to n(X_i),利用部分和S_n的弱收敛定理,证明了当ε→0时,sum from n≥1 to(n^(r...设{X_i,i≥1}是一严平稳零均值LPQD随机变量序列,0<EX_1~2<∞,σ~2=EX_1~2+sum from j=2 to ∞(E(X_1X_j)),并且0<σ~2<∞,令S_n=sum from i=1 to n(X_i),利用部分和S_n的弱收敛定理,证明了当ε→0时,sum from n≥1 to(n^(r/p-2))P〔│S_n│≥εn^(1/p)〕,sum from n≥1 to(1/n)P〔│S_n│≥εn^(1/p)〕,sum from n≥1 to((1n n)~δ/n)P〔│S_n│≥ε(n 1n n)～(1/2)〕的精确渐近性.展开更多
设{X,Xn;n≥1)为i.i.d.的随机变量序列,其均值为0且EX2=1.令S={Sn}n≥0为一维随机游动,其中S0=0,Sn=sum from k=1 to n Xk,对n≥1.定义G(n)为随机游动局部时的Cauchy主值.本文得到了,若存在某δ1>0,E|X|2r/(3p-4)+δ1<∞成立,那么...设{X,Xn;n≥1)为i.i.d.的随机变量序列,其均值为0且EX2=1.令S={Sn}n≥0为一维随机游动,其中S0=0,Sn=sum from k=1 to n Xk,对n≥1.定义G(n)为随机游动局部时的Cauchy主值.本文得到了,若存在某δ1>0,E|X|2r/(3p-4)+δ1<∞成立,那么对4/3<P<2及r>P。展开更多
The face recognition with expression and occlusion variation becomes the greatest challenge in biometric applications to recognize people. The proposed work concentrates on recognizing occlusion and seven kinds of exp...The face recognition with expression and occlusion variation becomes the greatest challenge in biometric applications to recognize people. The proposed work concentrates on recognizing occlusion and seven kinds of expression variations such as neutral, surprise, happy, sad, fear, disgust and angry. During enrollment process, principle component analysis (PCA) detects facial regions on the input image. The detected facial region is converted into fuzzy domain data to make decision during recognition process. The Haar wavelet transform extracts features from the detected facial regions. The Nested Hidden markov model is employed to train these features and each feature of face image is considered as states in a Markov chain to perform learning among the features. The maximum likelihood for the input image was estimated by using Baum Welch algorithm and these features were kept on database. During recognition process, the expression and occlusion varied face image is taken as the test image and maximum likelihood for test image is found by following same procedure done in enrollment process. The matching score between maximum likelihood of input image and test image is computed and it is utilized by fuzzy rule based method to decide whether the test image belongs to authorized or unauthorized. The proposed work was tested among several expression varied and occluded face images of JAFFE and AR datasets respectively.展开更多
Mitochondria produce energy and metabolic intermediates necessary for the survival of cells.They also play important roles in immunity.Emerging evidence has indicated that mitochondria can be involved in various disea...Mitochondria produce energy and metabolic intermediates necessary for the survival of cells.They also play important roles in immunity.Emerging evidence has indicated that mitochondria can be involved in various diseases by triggering immune responses(Baum,1995;Berg and Klein,1986).Mitochondrial antigens(MtAgs)refer to any substances derived from mitochondria that can be recognized by the adaptive immune system and cause immune responses.Mitochondria release danger-associated molecular patterns upon cellular stress or damage and act as signaling hubs in innate immunity,which is another big topic that we will not discuss here.In this review,we describe the varieties of MtAgs,their presentation and involvements in diseases,suggesting a potential immunopathogenic mechanism(Figure 1).展开更多
文摘ESWC法国总部主席Renaud De La Baume先生于2月2日到4日访问北京,并对中国赛区的各项准备工作进行了考察,并与中华全国体育总会的相关领导就赛事筹备、执行等多方面工作交换了意见。ESWC中国赛区指定会刊《电子竞技》于2月3日对Renaud De La Baume先生(以下简称Renaud)进行了独家专访。
基金湖南省自然科学基金(the Natural Science Foundation of Hunan Province of China under Grant No.04JJ40051)湖南省教育厅资助科研课题(the Research Project of Department of Education of Hunan ProvinceChina under Grant No.06c724)
文摘设{X_i,i≥1}是一严平稳零均值LPQD随机变量序列,0<EX_1~2<∞,σ~2=EX_1~2+sum from j=2 to ∞(E(X_1X_j)),并且0<σ~2<∞,令S_n=sum from i=1 to n(X_i),利用部分和S_n的弱收敛定理,证明了当ε→0时,sum from n≥1 to(n^(r/p-2))P〔│S_n│≥εn^(1/p)〕,sum from n≥1 to(1/n)P〔│S_n│≥εn^(1/p)〕,sum from n≥1 to((1n n)~δ/n)P〔│S_n│≥ε(n 1n n)～(1/2)〕的精确渐近性.
文摘设{X,Xn;n≥1)为i.i.d.的随机变量序列,其均值为0且EX2=1.令S={Sn}n≥0为一维随机游动,其中S0=0,Sn=sum from k=1 to n Xk,对n≥1.定义G(n)为随机游动局部时的Cauchy主值.本文得到了,若存在某δ1>0,E|X|2r/(3p-4)+δ1<∞成立,那么对4/3<P<2及r>P。
文摘The face recognition with expression and occlusion variation becomes the greatest challenge in biometric applications to recognize people. The proposed work concentrates on recognizing occlusion and seven kinds of expression variations such as neutral, surprise, happy, sad, fear, disgust and angry. During enrollment process, principle component analysis (PCA) detects facial regions on the input image. The detected facial region is converted into fuzzy domain data to make decision during recognition process. The Haar wavelet transform extracts features from the detected facial regions. The Nested Hidden markov model is employed to train these features and each feature of face image is considered as states in a Markov chain to perform learning among the features. The maximum likelihood for the input image was estimated by using Baum Welch algorithm and these features were kept on database. During recognition process, the expression and occlusion varied face image is taken as the test image and maximum likelihood for test image is found by following same procedure done in enrollment process. The matching score between maximum likelihood of input image and test image is computed and it is utilized by fuzzy rule based method to decide whether the test image belongs to authorized or unauthorized. The proposed work was tested among several expression varied and occluded face images of JAFFE and AR datasets respectively.
基金supported by the National Key Research and Development Program of China (2023YFC3404500, 2021YFA1300502, 2021YFA1302000)the National Natural Science Foundation of China (92057210, 82125017, 91942309, 82173064, 81971481)+2 种基金the Science and Technology Program of Guang-zhou (202103000070, 202201020467, 202201020479)the New Cornerstone Science Foundation through the New Cornerstone Investigator Programthe XPLORER PRIZE
文摘Mitochondria produce energy and metabolic intermediates necessary for the survival of cells.They also play important roles in immunity.Emerging evidence has indicated that mitochondria can be involved in various diseases by triggering immune responses(Baum,1995;Berg and Klein,1986).Mitochondrial antigens(MtAgs)refer to any substances derived from mitochondria that can be recognized by the adaptive immune system and cause immune responses.Mitochondria release danger-associated molecular patterns upon cellular stress or damage and act as signaling hubs in innate immunity,which is another big topic that we will not discuss here.In this review,we describe the varieties of MtAgs,their presentation and involvements in diseases,suggesting a potential immunopathogenic mechanism(Figure 1).
