Analysis of Vasculature for Liver Surgical Planning Dirk Selle, Bernhard Preim*, Andrea Schenk, and Heinz-Otto Peitgen IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 21, NO. 11, NOVEMBER 2002
Twenty-five years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twentyfive years is a long period of time. During these years many things have happened. Loo
很好的系统生物学书籍，下面是2008年Nature review 文章 ”Modelling and analysis of gene regulatory networks“ 的评价： An excellent book about the study of biological networks by one of the leading researchers in this field.
这是前面的13篇论文 1 Keyword search on structured and semi-structured data Yi Chen, Wei Wang, Ziyang Liu, Xuemin Lin Jun. 2009 Proceedings of the 35th SIGMOD international conference on Management of data 2 Efficient type-ahead search on relational data: a
NEWS for OpenSC -- History of user visible changes Complete change history is available online: http://www.opensc-project.org/opensc/timeline New in 0.12.0; 2010-12-22 * OpenSC uses a single reader driver, specified at compile time. * New card drive
Ramin Zabih and John Woodfill于1994年提出Census Transform，在此基础上，Bernhard Froba在他的论文《Face Detection with the Modified Census Transform》中用修正的CT变换（MCT）做预处理，再用AdaBoost训练，来进行人脸检测
The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a wor
The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a wor
The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a wor
The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a wor
Contains recent advances and results in number theory Collects papers never before published in book form Explains the Riemann Hypothesis to someone without a background in complex analysis The Riemann Hypothesis has become the Holy Grail of mathema
The Erlangen program provides a fundamental point of view on the place of trans- formation groups in mathematics and physics. Felix Klein wrote the program, but Sophus Lie also contributed to its formulation, and his writings are probably the best e
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bernhard是Go软件包，用于向Bernhard服务发送警报。
安装
请确保你有一个工作转到1.14+工作区（），则：
go get pkg.re/essentialkaos/go-bernhard.v3
要更新到最新的稳定版本，请执行以下操作：
go get -u pkg.re/essentialkaos/go-bernhard.v3
建立状态
分支
状态
master
develop
执照
