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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, ...
Hyper-optimized Machine Learning and Deep Learning Methods For Geo-spatial and Temporal Function Estimation
(2018-08-13)
Owing to a high degree of freedom in human mobility, accurate modelling/estimation of human mobility function remains a challenge. Numerous work in the literature have tried to address the challenge using various traditional ...
Classification of Factual and Non-Factual Statements Using Adversarially Trained LSTM Networks
(2020-06-08)
Being able to determine which statements are factual and therefore likely candidates for further verification is a key value-add in any automated fact-checking system. For this task, it has been shown that LSTMs outperform ...
DEEPSIGN: A DEEP-LEARNING ARCHITECTURE FOR SIGN LANGUAGE
(2018-11-13)
Sign languages are used by deaf people for communication. In sign languages, humans use hand gestures, body, facial expressions and movements to convey meaning. Humans can easily learn and understand sign languages, but ...
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, ...
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 ...
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 ...