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Patents are subject to changes, might be replaced.
Portfolio 12
Automated Learning Machine
Patent No.
US9870519
Originated by
NEC
Title of Patent:
Hierarchical sparse dictionary learning (HiSDL) for heterogeneous high-dimensional time series
A hierarchical sparse dictionary learning system and method to construct a learned dictionary regularised by a prior over-complete dictionary
Possible to characterize given data which includes high-dimensional time series for an interpretable dictionary output which can adapt to given data and generalise by a priori dictionaries
Able to determine whether the learned dictionary converges to an input data set, and output the learned dictionary regularised by at least one a priori over-complete dictionary
Potential Areas of Applications:
Machine Learning
Computer Vision
Robotics
Biometric Identification
FinTech
Blockchain
Proposed Schemes:
Assignment basis 5% - 10% equity exchange
Schemes are subject to the business model and are open for discussion.
IP Originated by
NEC
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