A gentle introduction to deep learning in medical image processing

A Gentle Introduction To Online Learning

There are many problems that can be posed or modeled as learning in an online manner, which involves making repeated decisions in an uncertain (and possibly adversarial) environment while trying to achieve or optimize some objective. For instance, we may know several predictors of the stock market (hourly volatility, minuted returns of gold, Bernanke’s mood, etc), each of which give their own s...

A gentle introduction to

The PythonTEX package allows authors to combine computational and typesetting tasks by embedding Python code in TEX documents. This package allows access to many powerful Python modules, providing support for such things as symbolic mathematics, plotting, arbitrary precision numerical calculations, and networking. Python’s intuitive syntax, popularity, and extensibility along with TEX’s formatt...

Deep Learning for Medical Image Processing: Overview, Challenges and Future

Healthcare sector is totally different from other industry. It is on high priority sector and people expect highest level of care and services regardless of cost. It did not achieve social expectation even though it consume huge percentage of budget. Mostly the interpretations of medical data is being done by medical expert. In terms of image interpretation by human expert, it is quite limited ...

A Gentle Introduction to Tensors

A Gentle Introduction to Globus

As computers become better connected across the globe, opportunities to create new programs utilizing geographically distant resources increase. New applications not possible without this computational grid include distributed supercomputing and intelligent sensing applications. However, di culties implementing this new class of applications exist: the computers on a grid are unreliably connect...