Integrating machine learning in embedded sensor systems for Internet-of-Things applications
Interpreting sensor data in Internet-of-Things applications is a challenging problem
particularly in embedded systems. We consider sensor data analytics where machine …
particularly in embedded systems. We consider sensor data analytics where machine …
Optimizing kernel machines using deep learning
Building highly nonlinear and nonparametric models is central to several state-of-the-art
machine learning systems. Kernel methods form an important class of techniques that …
machine learning systems. Kernel methods form an important class of techniques that …
A deep learning approach to multiple kernel fusion
Kernel fusion is a popular and effective approach for combining multiple features that
characterize different aspects of data. Traditional approaches for Multiple Kernel Learning …
characterize different aspects of data. Traditional approaches for Multiple Kernel Learning …
[图书][B] Sensor analysis for the internet of things
M Stanley, J Lee - 2018 - books.google.com
While it may be attractive to view sensors as simple transducers which convert physical
quantities into electrical signals, the truth of the matter is more complex. The engineer …
quantities into electrical signals, the truth of the matter is more complex. The engineer …
Systems and methods for skyline prediction for cyber-physical photovoltaic array control
US11132551B2 - Systems and methods for skyline prediction for cyber-physical
photovoltaic array control - Google Patents US11132551B2 - Systems and methods for …
photovoltaic array control - Google Patents US11132551B2 - Systems and methods for …
Auto-context modeling using multiple Kernel learning
H Song, JJ Thiagarajan… - … on Image Processing …, 2016 - ieeexplore.ieee.org
In complex visual recognition systems, feature fusion has become crucial to discriminate
between a large number of classes. In particular, fusing high-level context information with …
between a large number of classes. In particular, fusing high-level context information with …
Data-driven representation learning in multimodal feature fusion
H Song - 2018 - search.proquest.com
Modern machine learning systems leverage data and features from multiple modalities to
gain more predictive power. In most scenarios, the modalities are vastly different and the …
gain more predictive power. In most scenarios, the modalities are vastly different and the …
Systems and methods for customizing kernel machines with deep neural networks
2018-11-14 Assigned to ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE
UNIVERSITY reassignment ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA …
UNIVERSITY reassignment ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA …
Systems and methods for skyline prediction for cyber-physical photovoltaic array control
US11694431B2 - Systems and methods for skyline prediction for cyber-physical
photovoltaic array control - Google Patents US11694431B2 - Systems and methods for …
photovoltaic array control - Google Patents US11694431B2 - Systems and methods for …