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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 ...
Artificial Intelligence For Cognitive Behavior Assessment In Children
(2018-06-25)
Cognitive impairments in early childhood can lead to poor academic performance and require proper remedial intervention at the appropriate time. ADHD affects about 6-7% of children and is a psychiatric neurodevelopmental ...
Automated multistep classifier sizing and training for deep learner
(2018-08-13)
Training algorithms for deep learning have recently been proposed with notable success, beating the start-of-the-art in certain areas like audio, speech and language processing. The key role is played by learning multiple ...
TOWARDS END-TO-END SEMI-SUPERVISED DEEP LEARNING FOR DRUG DISCOVERY
(2018-11-26)
Observing the recent progress in Deep Learning, the employment of AI is surging to accelerate drug discovery and cut R&D costs in the last few years. However, the success of deep learning is attributed to large-scale clean ...
LARGE-SCALE DEEP LEARNING WITH APPLICATION IN MEDICAL IMAGING AND BIO-INFORMATICS
(2018-11-27)
With the recent advancement of the deep learning technology in the artificial intelligence area, nowadays people's lives have been drastically changed. However, the success of deep learning technology mostly relies on ...
Defending Neural Networks Against Adversarial Examples
(2018-12-12)
Deep learning is becoming a technology central to the safety of cars, the security of networks, and the correct functioning of many other types of systems. Unfortunately, attackers can create adversarial examples, small ...
FROM TEXT CLASSIFICATION TO IMAGE CLUSTERING, PROBLEMS LESS OPTIMIZED
(2018-06-11)
Machine Learning is thriving. Every industry is using its techniques in some way to improve their efficiency and revenue. However, the focus on research is not divided equally between all of the different areas and problems ...
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 ...
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 ...