Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Hirokazu Kameoka

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Neural Computation|August 19, 2021
X-DC: Explainable Deep Clustering Based on Learnable Spectrogram TemplatesChihiro Watanabe, Hirokazu Kameoka
Neural Computation|July 24, 2019
Supervised Determined Source Separation with Multichannel Variational AutoencoderHirokazu Kameoka, Li Li, Shota Inoue, et al.
Briefings in Bioinformatics|July 5, 2022
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicineRyuji Hamamoto, Ken Takasawa, Hidenori Machino, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Neural Computation|August 19, 2021
X-DC: Explainable Deep Clustering Based on Learnable Spectrogram TemplatesChihiro Watanabe, Hirokazu Kameoka
Neural Computation|July 24, 2019
Supervised Determined Source Separation with Multichannel Variational AutoencoderHirokazu Kameoka, Li Li, Shota Inoue, et al.
Briefings in Bioinformatics|July 5, 2022
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicineRyuji Hamamoto, Ken Takasawa, Hidenori Machino, et al.
Pageof 1