Skip to main navigation
Skip to search
Skip to main content
KAUST FACULTY PORTAL Home
Home
Profiles
Research units
Research output
Prizes
Courses
Equipment
Student theses
Datasets
Press/Media
Search by expertise, name or affiliation
Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization
Jim Jing-Yan Wang,
Xin Gao
Computer, Electrical and Mathematical Sciences and Engineering
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
19
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Beyond cross-domain learning: Multiple-domain nonnegative matrix factorization'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Multiple Domains
100%
Cross-domain Learning
100%
Domain Learning
50%
Email Spam Detection
12%
Distribution Mismatch
12%
Method Transfer
12%
Maximum Mean Discrepancy
12%
Glioma Diagnosis
12%
Label Space
12%
Computer Science
Multiple Domain
100%
nonnegative matrix factorization
100%
Learning Problem
50%
Representation Method
12%
Transfer Learning
12%
Traditional Cross
12%
spam email
12%
Domain Representation
12%
Biochemistry, Genetics and Molecular Biology
Transfer of Learning
100%