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Machine Learning
arXiv (Cornell University)
Towards Deep Learning based Hand Keypoints Detection for Rapid\n Sequential Movements from RGB Images
2018
Hand keypoints detection and pose estimation has numerous applications in\ncomputer vision, but it is still an unsolved problem in many aspects. An\napplication of hand keypoints detection is in performing cognitive assessments\nof a subject by observing the …
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Machine Learning

Study of algorithms that improve automatically through experience

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance.

ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics.

Exploring foci of:
arXiv (Cornell University)
Towards Deep Learning based Hand Keypoints Detection for Rapid\n Sequential Movements from RGB Images
2018
Hand keypoints detection and pose estimation has numerous applications in\ncomputer vision, but it is still an unsolved problem in many aspects. An\napplication of hand keypoints detection is in performing cognitive assessments\nof a subject by observing the performance of that subject in physical tasks\ninvolving rapid finger motion. As a part of this work, we introduce a novel\nhand key-points benchmark dataset that consists of hand gestures recorded\nspecifically for cognitive behavior monitoring. We explore th…
Click Machine Learning Vs:
Benchmark (Surveying)
Computer Science
Artificial Intelligence
Gesture
Lock And Key
Deep Learning
Computer Vision
Cognition
Geodesy
Click Machine Learning Vs:
Neuroscience
Computer Security
Geography