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Now showing items 11-15 of 15
Supervised Sparse Learning with Applications in Bioinformatics
(2018-08-23)
In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of ...
On the Development and Integration of Pneumatic Extrusion Module and a Methodology to Identify Process Parameters for Additive Manufacturing using Machine Learning
(2018-05-09)
Commonly used additive manufacturing platforms have a single extrusion module based on Fused Filament Fabrication (FFF) and their processing software generates G-Codes for this FFF module using defined process parameters. ...
LEARNING FROM WIZARD-OF-OZ USING DYNAMIC USER MODELING
(2017-05-15)
Socially assistive robotics (SAR) is a field of study that combines assistive robotics with socially interactive robotics where the goal of the robot is to provide assistance to human users through social interaction. The ...
Machine Learning: Several Advances in Linear Discriminant Analysis, Multi-View Regression and Support Vector Machine
(2017-04-24)
Machine learning technology is now widely used in engineering, science, finance, healthcare, etc. In this dissertation, we make several advances in machine learning technologies for high dimensional data analysis, image ...
FACE DETECTION AND RECOGNITION USING MOVING WINDOW ACCUMULATOR WITH VARIOUS DEEP LEARNING ARCHITECTURE
(2018-05-04)
Recent advancement in the field of Computer Vision and Deep Learning is making object detection and recognition easier. Hence, growing research activities in the field of deep learning are enabling researchers to find new ...