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Now showing items 11-20 of 20
Detection and classification of object presence and characteristics in a water container using high frequency ultrasound
(2022-05-17)
Detection and characterization of soluble, diffuse, and solid objects and their characteristics in water has important implications in various applications, including water quality assessment and incontinence monitoring ...
LEARNING TOPOLOGY PRESERVING EMBEDDINGS FOR SPEEDING UP NEAREST NEIGHBOR RETRIEVAL
(2022-05-06)
Given a database of objects and a query object, it’s possible to gather
a number of the closest neighbors to the query object. This operation is
important to a number of diverse fields such as computer vision, content-
based ...
User Syndication Using Speech Rhythm
(2019-08-08)
In recent years we have seen a variety of approaches to increase security on computers and mobile devices including fingerprint, and facial recognition. Such techniques while effective are very expensive. Voice biometrics, ...
UNSUPERVISED DATA DRIVEN MACHINE LEARNING IN HYPERSPECTRAL IMAGING AND ECHOCARDIOGRAPHY VIDEOS
(2021-05-06)
This work discusses the problem of unsupervised classification in images. Conventional methods approached this problem with the naive assumption that the relationship among the pixels' information can be expressed sufficiently ...
ADAPTIVE ACTIVATIONS AND SHIFT INVARIANCE IN SHALLOW CONVOLUTIONAL NEURAL NETWORKS
(2021-08-13)
Deep learning training training algorithms are a huge success in recent years in many fields including speech, text,image video etc. Deeper and deeper layers are proposed with huge success with resnet structures having ...
Learning Health Information From Floor Sensor Data Within A Pervasive Smart Home Environment
(2020-09-02)
Spatial and temporal gait analysis can provide useful measures for determining a person’s state of health while also identifying deviations in day-to-day activity. The SmartCare project is a multi-discipline health ...
LEARNING EMBEDDINGS FOR WEARABLE-BASED HUMAN ACTIVITY ANALYSIS
(2020-09-04)
The embedded sensors in widely used smartphones, wearable devices and smart environments make the sensor data stream of human activity more accessible. With the development of deep neural networks, extensive studies have ...
VERIFICATION AND VALIDATION OF POWER CONVERTERS FOR USE IN FUTURE POWER SYSTEM ARCHITECTURES
(2022-05-23)
Electronics are more widely penetrating almost every area of society and as they
do, the demand to supply them with regulated power increases considerably. The scale of
the electronic power distribution systems needed ...
Improved initialization for the multi layer perceptron
(2018-05-08)
A Multilayer Perceptron (MLP) neural network is used for solving nonlinear functional problems like function approximation, classification, data processing etc. MLP neural networks are usually trained using back propagation, ...
Hierarchical Representation Learning with Connectionist Models
(2018-03-01)
To unleash the power of big data, efficient algorithms which are scalable to millions of data are desired. Deep learning is one area that benefits from big data enormously. Deep learning uses neural networks to mimic human ...