Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dong, Zhikang"'
When constructing portfolios, a key problem is that a lot of financial time series data are sparse, making it challenging to apply machine learning methods. Polymodel theory can solve this issue and demonstrate superiority in portfolio construction f
Externí odkaz:
http://arxiv.org/abs/2408.03320
We introduce a novel method that combines differential geometry, kernels smoothing, and spectral analysis to quantify facial muscle activity from widely accessible video recordings, such as those captured on personal smartphones. Our approach emphasi
Externí odkaz:
http://arxiv.org/abs/2401.05625
Music recommendation for videos attracts growing interest in multi-modal research. However, existing systems focus primarily on content compatibility, often ignoring the users' preferences. Their inability to interact with users for further refinemen
Externí odkaz:
http://arxiv.org/abs/2310.06282
In recent years, there has been a growing emphasis on the intersection of audio, vision, and text modalities, driving forward the advancements in multimodal research. However, strong bias that exists in any modality can lead to the model neglecting t
Externí odkaz:
http://arxiv.org/abs/2310.06238
Autor:
Kim, Juni, Dong, Zhikang, Guan, Eric, Rosenthal, Judah, Fu, Shi, Rafailovich, Miriam, Polak, Pawel
We provide a new non-invasive, easy-to-scale for large amounts of subjects and a remotely accessible method for (hidden) emotion detection from videos of human faces. Our approach combines face manifold detection for accurate location of the face in
Externí odkaz:
http://arxiv.org/abs/2211.00233
Autor:
Dong, Zhikang, Polak, Pawel
We investigate the inverse problem for Partial Differential Equations (PDEs) in scenarios where the parameters of the given PDE dynamics may exhibit changepoints at random time. We employ Physics-Informed Neural Networks (PINNs) - universal approxima
Externí odkaz:
http://arxiv.org/abs/2208.08626
Autor:
Dong, Zhikang, Polak, Pawel
We consider the inverse problem for the Partial Differential Equations (PDEs) such that the parameters of the dependency structure can exhibit random changepoints over time. This can arise, for example, when the physical system is either under malici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4265f6cd7e1db951626f44ce17aa1145