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SECOND ORDER ALGORITHM FOR SPARSELY CONNECTED NEURAL NETWORKS
(2016-08-17)
A systematic two-step batch approach for constructing a sparse neural network is presented. Unlike other sparse neural networks, the proposed paradigm uses orthogonal least squares (OLS) to train the network. OLS based ...
BUILDING 3D SHAPE PRIMITIVE BASED OBJECT MODELS FROM RANGE IMAGES
(2016-09-16)
Most pattern recognition approaches to object identification work in the image
domain. However this is ignoring potential information that can be provided by depth
information. Using range images, ...
Group Assignment and Annual Average Daily Traffic Estimation of Short-term Traffic Counts Using Gaussian Mixture Modeling and Neural Network Models
(2016-09-13)
The grouping of similar traffic patterns and cluster assignment process represent the most critical steps in AADT estimation from short-term traffic counts. Incorrect grouping and assignment often become a significant ...
INTUITIVE HUMAN ROBOT INTERFACES FOR UPPER LIMB PROSTHETICS
(2016-08-19)
Modern robotic prosthetic devices for upper limb amputees promise to alleviate an important disability, but are underutilized due to the inability to properly control them. Specifically, the devices afford more degrees of ...
MULTILAYER PERCEPTRON WITH ADAPTIVE ACTIVATION FUNCTIONS
(2016-05-26)
A Multilayer perceptron typically has a fixed nonlinear activation function for each hidden unit. In this thesis, an adaptive activation function for individual hidden unit is designed, where the network learns these ...