scholarly journals Toward Image Data-Driven Predictive Modeling for Guiding Thermal Ablative Therapy

2020 ◽  
Vol 67 (6) ◽  
pp. 1548-1557
Author(s):  
Jarrod A. Collins ◽  
Jon S. Heiselman ◽  
Logan W. Clements ◽  
Jared A. Weis ◽  
Daniel B. Brown ◽  
...  
Keyword(s):  
Predictive Modeling ◽  
Image Data ◽  
Data Driven ◽  
Ablative Therapy

scholarly journals Outfit Browser – An Image-data-driven User Interface for Self-service Systems in Fashion Stores

2015 ◽  
Vol 3 ◽  
pp. 3521-3528 ◽  
Author(s):  
Alexander Piazza ◽  
Christian Zagel ◽  
Sebastian Huber ◽  
Matthias Hille ◽  
Freimut Bodendorf
Keyword(s):  
User Interface ◽  
Image Data ◽  
Service Systems ◽  
Data Driven ◽  
Self Service

Image-Data-Driven Dynamically-Reconfigurable Multiprocessor System In Automated Histopathology

1986 ◽  
Author(s):  
R. L. Shoemaker ◽  
P. H. Bartels ◽  
H. Bartels ◽  
W. G. Griswold ◽  
D. Hillman ◽  
...  
Keyword(s):  
Image Data ◽  
Data Driven ◽  
Multiprocessor System ◽  
Dynamically Reconfigurable

scholarly journals Data‐driven auditing: A predictive modeling approach to fraud detection and classification

2019 ◽  
Vol 30 (4) ◽  
pp. 121-121
Author(s):  
Nitin Singh ◽  
Kee‐hung Lai ◽  
Markus Vejvar ◽  
T. C. Edwin Cheng
Keyword(s):  
Predictive Modeling ◽  
Fraud Detection ◽  
Data Driven ◽  
Modeling Approach

MODEL-BASED OBJECT RECOGNITION USING PROBABILISTIC LOGIC AND MAXIMUM ENTROPY

1991 ◽  
Vol 05 (03) ◽  
pp. 425-437 ◽  
Author(s):  
THOMAS B. KANE ◽  
PATRICK McANDREW ◽  
ANDREW M. WALLACE
Keyword(s):  
Maximum Entropy ◽  
Image Data ◽  
Data Driven ◽  
Probabilistic Logic ◽  
Simulated Image ◽  
Two Dimensional Image ◽  
Reasoning System ◽  
Scene Description ◽  
Iconic Image ◽  
Local Edge

In the visual context, a reasoning system should he capable of inferring a scene description using evidence derived from data-driven processing of the iconic image data. This evidence may consist of a set of curvilinear boundaries, which are obtained by grouping local edge data into extended features. Using linear primitives, a framework is described which represents the information contained in pre-formed models of possible objects in the scene, and in the segmented scenes themselves. A method based on maximum entropy is developed which assigns measures of likelihood for the presence of objects in the two-dimensional image. This method is applied to and evaluated on real and simulated image data, and the effectiveness of the approach is discussed.

scholarly journals Complex Data-driven Predictive Modeling in Personalized Clinical Decision Support for Acute Coronary Syndrome Episodes

2016 ◽  
Vol 80 ◽  
pp. 518-529 ◽  
Author(s):  
Alexey V. Krikunov ◽  
Ekaterina V. Bolgova ◽  
Evgeniy Krotov ◽  
Tesfamariam M. Abuhay ◽  
Alexey N. Yakovlev ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Decision Support ◽  
Clinical Decision Support ◽  
Predictive Modeling ◽  
Clinical Decision ◽  
Data Driven ◽  
Complex Data ◽  
Coronary Syndrome
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