Dynamic Shape Modeling of Consumers’ Daily Load Based on Data Mining

2005 ◽  
pp. 712-719 ◽  
Author(s):  
Lianmei Zhang ◽  
Shihong Chen ◽  
Qiping Hu
Keyword(s):  
Data Mining ◽  
Shape Modeling ◽  
Daily Load ◽  
Dynamic Shape

scholarly journals Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling

2017 ◽  
Vol 248 ◽  
pp. 28-40 ◽  
Author(s):  
Afaf Tareef ◽  
Yang Song ◽  
Heng Huang ◽  
Yue Wang ◽  
Dagan Feng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Shape Modeling ◽  
Cytological Examination ◽  
Dynamic Shape

Dynamic shape modeling of the mitral valve from real-time 3D ultrasound images using continuous medial representation

2012 ◽  
Author(s):  
Alison M. Pouch ◽  
Paul A. Yushkevich ◽  
Benjamin M. Jackson ◽  
Joseph H. Gorman III ◽  
Robert C. Gorman ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Real Time ◽  
3D Ultrasound ◽  
Shape Modeling ◽  
Ultrasound Images ◽  
Medial Representation ◽  
Dynamic Shape

Dynamic Shape Typing

2002 ◽  
Author(s):  
Joris S. M. Vergeest ◽  
Chensheng Wang ◽  
Yu Song ◽  
Imre Horva´th
Keyword(s):  
Shape Optimization ◽  
Automatic Processing ◽  
Experimental Results ◽  
Shape Modeling ◽  
Shape Design ◽  
Shape Information ◽  
Representation Form ◽  
Theoretical Issues ◽  
Dynamic Shape ◽  
Selection Of

Automatic processing of shape information requires the selection of a representation form of shape. Shape modeling is based on a choice of shape type, which is the joint specification of representation form and a set of operations. In shape applications, such as shape design and shape optimization, it is not sufficient to maintain a static shape type. Depending on the specific needs during the application, i.e. depending on the modeling context, the appropriate shape type might be continuously varying. Programmed systems can handle static shape types relatively well. However, to support dynamic shape typing a number of fundamental problems need to be understood and solved. An approach to dynamic typing of freeform shapes is presented. Theoretical issues will be described and some concrete examples and initial experimental results will be presented.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining
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