全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
中外文文献  中文文献  外文文献
作者:Vicky Chen , John Paisley , Xinghua Lu
来源:[J].BMC Genomics(IF 4.397), 2017, Vol.18 (2)Springer
摘要:Cancer is a complex disease driven by somatic genomic alterations (SGAs) that perturb signaling pathways and consequently cellular function. Identifying patterns of pathway perturbations would provide insights into common disease mechanisms shared among tumors, which is important...
作者:... Yinghao Liao , Xinghao Ding , John Paisley
来源:[J].Signal Processing(IF 1.851), 2016, Vol.129, pp.82-96Elsevier
摘要:Abstract(#br)We propose a straightforward and efficient fusion-based method for enhancing weakly illumination images that uses several mature image processing techniques. First, we employ an illumination estimating algorithm based on morphological closing to decompose an observed...
作者:John Paisley , David M. Blei
来源:[C].Knowledge Discovery and Data Mining2015ACM
摘要:We present a Bayesian tensor factorization model for inferring latent group structures from dynamic pairwise interaction patterns. For decades, political scientists have collected and analyzed records of the form "country i took action a toward country j at time t" - known as dya...
作者:John Paisley , Chong Wang , David M. Blei
来源:[J].Bayesian Analysis, 2012, Vol.7 (4), pp.997-1034Project Euclid
摘要:We present the discrete infinite logistic normal distribution (DILN), a Bayesian nonparametric prior for mixed membership models. DILN generalizes the hierarchical Dirichlet process (HDP) to model correlation structure between the weights of the atoms at the group level. We deriv...
作者:John Paisley , Lawrence Carin
来源:[C].Machine Learning2009ACM
摘要:We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BP-FA) model allows for a dataset to be decomposed into a linear combination of a sparse set of factors, providing information on the underlying stru...
作者:... Yue Huang , Congbo Cai , John Paisley
来源:[B].Lecture Notes in Computer Science;;Lecture Notes in Computer Science;;Lecture Notes in Computer Science;;Lecture Notes in Computer Science;;Lecture Notes in Computer Science;;Lecture Notes in Computer Science;;Communications in Computer and Information Science2018Springer
摘要:Abstract Compressed sensing MRI is a classic inverse problem in the field of computational imaging, accelerating the MR imaging by measuring less k-space data. The deep neural network models provide the stronger representation ability and faster reconstruction compared with ...
作者:... Xinghao Ding , Yue Huang , John Paisley
来源:[B].Image Processing, Computer Vision, Pattern Recognition, and Graphics2019Springer
摘要:Abstract The need for fast acquisition and automatic analysis of MRI data is growing. Although compressed sensing magnetic resonance imaging (CS-MRI) has been studied to accelerate MRI by reducing k-space measurements, current techniques overlook downstream applications such as s...

我们正在为您处理中,这可能需要一些时间,请稍等。

资源合作:cnki.scholar@cnki.net, +86-10-82896619   意见反馈:scholar@cnki.net

×