Patients with Philadelphia chromosome (p190 BCR-ABL fusion gene)-positive acute lymphoblastic leukemia have a poor prognosis despite intensive therapeutic intervention.In this study, we attempted to develop a leukemia...Patients with Philadelphia chromosome (p190 BCR-ABL fusion gene)-positive acute lymphoblastic leukemia have a poor prognosis despite intensive therapeutic intervention.In this study, we attempted to develop a leukemia nonhuman primate model that mimics various human systems. Hematopoietic stem/progenitor cells in the common marmoset were transduced with a lentiviral vector containing the p190 BCR-ABL fusion gene by ex vivo transduction or in vivo direct bone marrow injection. In the latter model, BCR-ABL gene expression was maintained for more than one and a half years. One marmoset unexpectedly developed myelofibrosis-like disease. However, none of the marmosets have developed leukemia to date. In conclusion, we successfully achieved sustained p190 BCR-ABL gene expression in vivo. However, a genetic mutation in addition to p190 BCR-ABL may be required for the malignant transformation of hematopoietic stem/progenitor cells in the common marmoset during the short observation period. This novel in vivo approach will help develop a marmoset leukemia model in the future.展开更多
In the paper, a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independentl...In the paper, a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independently of persistence and heteroskedasticity properties, accounting for common deterministic and stochastic factors. Monte Carlo results strongly support the proposed methodology, validating its use also for relatively small cross-sectional and temporal samples.展开更多
最近,利用步态对个人身份进行识别受到越来越多生物识别技术研究者的重视。步态能量图(GEI-Gait Energy Image)是一种有效的步态表征方法,局部二值模式(LBP-Local Binary Pattern)能很好地提取局部信息,所以利用局部二值模式(LBP)来提...最近,利用步态对个人身份进行识别受到越来越多生物识别技术研究者的重视。步态能量图(GEI-Gait Energy Image)是一种有效的步态表征方法,局部二值模式(LBP-Local Binary Pattern)能很好地提取局部信息,所以利用局部二值模式(LBP)来提取步态能量图(GEI)的局部特征并用于识别。首先,为了更好地提取局部信息,把步态能量图(GEI)分块,提取各个子块上的LBP特征,然后把各子块在特征层进行融合,得到整个步态能量图(GEI)的特征表达;同时为了更好地挖掘步态能量图(GEI)的信息,对LBP模式进行了扩展。由于得到的LBP特征维数较高,利用具有降维和良好识别能力的辨识共同向量(DCV-Discriminant Common Vector)对步态能量图的LBP特征进行维数约减并增加类间距离。最后,只需利用简单的最近邻分类器就能取得较好的识别效果。将该算法在CASIA数据库上进行了试验,并取得了较高的正确识别率。展开更多
提出了一种基于共同向量结合2维主成分分析(2-dimen- sional principal component analysis,2DPCA)的人脸识别方法.共同向量由图像通过Gram-Schmidt正交变换而求得,具有该类图像共同不变的性质.原始图像与该类其同向量之间的差分向量通...提出了一种基于共同向量结合2维主成分分析(2-dimen- sional principal component analysis,2DPCA)的人脸识别方法.共同向量由图像通过Gram-Schmidt正交变换而求得,具有该类图像共同不变的性质.原始图像与该类其同向量之间的差分向量通过2DPCA处理,依据最小距离测试得到识别结果.实验在ORL和Yale人脸数据库进行测试,结果表明本文提出的方法有较好的识别性能.展开更多
利用步态对个人身份进行识别已经受到越来越多生物识别技术研究者的重视。步态能量图(GEI-Gait Energy Image)是一种有效的步态表征方法,Gabor小波能提取不同方向、不同尺度空间频率特征,因此,首先利用Gabor小波提取步态能量图不同方向...利用步态对个人身份进行识别已经受到越来越多生物识别技术研究者的重视。步态能量图(GEI-Gait Energy Image)是一种有效的步态表征方法,Gabor小波能提取不同方向、不同尺度空间频率特征,因此,首先利用Gabor小波提取步态能量图不同方向、不同尺度的信息,得到其幅值谱图,再利用LBP来提取Gabor幅值谱图的局部信息,相对于LBP直接作用于步态能量图,能提取步态能量图更多方向、更多尺度的局部特征。最后,利用具有良好降维和辨识能力的辨识共同向量(DCV-Discriminant Common Vector)对提取的LBP特征进行维数约减和特征选择,只需利用简单的最近邻分类器就能取得较好的识别效果。该算法在中科院自动化所的CASIA数据库上面进行试验取得了较高的正确识别率。还针对步态识别中的小样本问题提出了一种样本扩充方法,解决了步态识别中的小样本问题,并提高了算法的识别率。展开更多
提出一种新的基于判别公共向量(Discriminative Common Vector)的单样本人脸识别算法.该方法基于人脸类内方差相似的假定,通过引入单人多样本的辅助人脸集来估计类内方差,解决了单训练样本情况下样本类内方差无法估计的问题.在FERET人...提出一种新的基于判别公共向量(Discriminative Common Vector)的单样本人脸识别算法.该方法基于人脸类内方差相似的假定,通过引入单人多样本的辅助人脸集来估计类内方差,解决了单训练样本情况下样本类内方差无法估计的问题.在FERET人脸库的测试结果表明,在面部细节、光照、表情变化的情况下,该方法都具有较好的识别效果.展开更多
文摘Patients with Philadelphia chromosome (p190 BCR-ABL fusion gene)-positive acute lymphoblastic leukemia have a poor prognosis despite intensive therapeutic intervention.In this study, we attempted to develop a leukemia nonhuman primate model that mimics various human systems. Hematopoietic stem/progenitor cells in the common marmoset were transduced with a lentiviral vector containing the p190 BCR-ABL fusion gene by ex vivo transduction or in vivo direct bone marrow injection. In the latter model, BCR-ABL gene expression was maintained for more than one and a half years. One marmoset unexpectedly developed myelofibrosis-like disease. However, none of the marmosets have developed leukemia to date. In conclusion, we successfully achieved sustained p190 BCR-ABL gene expression in vivo. However, a genetic mutation in addition to p190 BCR-ABL may be required for the malignant transformation of hematopoietic stem/progenitor cells in the common marmoset during the short observation period. This novel in vivo approach will help develop a marmoset leukemia model in the future.
文摘In the paper, a general framework for large scale modeling of macroeconomic and financial time series is introduced. The proposed approach is characterized by simplicity of implementation, performing well independently of persistence and heteroskedasticity properties, accounting for common deterministic and stochastic factors. Monte Carlo results strongly support the proposed methodology, validating its use also for relatively small cross-sectional and temporal samples.
文摘最近,利用步态对个人身份进行识别受到越来越多生物识别技术研究者的重视。步态能量图(GEI-Gait Energy Image)是一种有效的步态表征方法,局部二值模式(LBP-Local Binary Pattern)能很好地提取局部信息,所以利用局部二值模式(LBP)来提取步态能量图(GEI)的局部特征并用于识别。首先,为了更好地提取局部信息,把步态能量图(GEI)分块,提取各个子块上的LBP特征,然后把各子块在特征层进行融合,得到整个步态能量图(GEI)的特征表达;同时为了更好地挖掘步态能量图(GEI)的信息,对LBP模式进行了扩展。由于得到的LBP特征维数较高,利用具有降维和良好识别能力的辨识共同向量(DCV-Discriminant Common Vector)对步态能量图的LBP特征进行维数约减并增加类间距离。最后,只需利用简单的最近邻分类器就能取得较好的识别效果。将该算法在CASIA数据库上进行了试验,并取得了较高的正确识别率。
文摘提出了一种基于共同向量结合2维主成分分析(2-dimen- sional principal component analysis,2DPCA)的人脸识别方法.共同向量由图像通过Gram-Schmidt正交变换而求得,具有该类图像共同不变的性质.原始图像与该类其同向量之间的差分向量通过2DPCA处理,依据最小距离测试得到识别结果.实验在ORL和Yale人脸数据库进行测试,结果表明本文提出的方法有较好的识别性能.
文摘利用步态对个人身份进行识别已经受到越来越多生物识别技术研究者的重视。步态能量图(GEI-Gait Energy Image)是一种有效的步态表征方法,Gabor小波能提取不同方向、不同尺度空间频率特征,因此,首先利用Gabor小波提取步态能量图不同方向、不同尺度的信息,得到其幅值谱图,再利用LBP来提取Gabor幅值谱图的局部信息,相对于LBP直接作用于步态能量图,能提取步态能量图更多方向、更多尺度的局部特征。最后,利用具有良好降维和辨识能力的辨识共同向量(DCV-Discriminant Common Vector)对提取的LBP特征进行维数约减和特征选择,只需利用简单的最近邻分类器就能取得较好的识别效果。该算法在中科院自动化所的CASIA数据库上面进行试验取得了较高的正确识别率。还针对步态识别中的小样本问题提出了一种样本扩充方法,解决了步态识别中的小样本问题,并提高了算法的识别率。
文摘提出一种新的基于判别公共向量(Discriminative Common Vector)的单样本人脸识别算法.该方法基于人脸类内方差相似的假定,通过引入单人多样本的辅助人脸集来估计类内方差,解决了单训练样本情况下样本类内方差无法估计的问题.在FERET人脸库的测试结果表明,在面部细节、光照、表情变化的情况下,该方法都具有较好的识别效果.
