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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, ...