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 …
Kernel fusion is a popular and effective approach for combining multiple features that characterize different aspects of data. Traditional approaches for Multiple Kernel Learning …
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 …
US11132551B2 - Systems and methods for skyline prediction for cyber-physical photovoltaic array control - Google Patents US11132551B2 - Systems and methods for …
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 …
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 …
US11694431B2 - Systems and methods for skyline prediction for cyber-physical photovoltaic array control - Google Patents US11694431B2 - Systems and methods for …