8 citations · 19 across the 12 of their papers we have counts for
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stat.ML2016
Gene-Gene association for Imaging Genetics Data using Robust Kernel Canonical Correlation Analysis
Md ashad Alam, Osamu Komori, Yu-Ping Wang
In genome-wide interaction studies, to detect gene-gene interactions, most methods are divided into two folds: single nucleotide polymorphisms (SNP) based and gene-based methods. B…
stat.ML2016
Identifying Outliers using Influence Function of Multiple Kernel Canonical Correlation Analysis
Md Ashad Alam, Yu-Ping Wang
Imaging genetic research has essentially focused on discovering unique and co-association effects, but typically ignoring to identify outliers or atypical objects in genetic as wel…
stat.ML2016
Robust Kernel (Cross-) Covariance Operators in Reproducing Kernel Hilbert Space toward Kernel Methods
Md. Ashad Alam, Kenji Fukumizu, Yu-Ping Wang
To the best of our knowledge, there are no general well-founded robust methods for statistical unsupervised learning. Most of the unsupervised methods explicitly or implicitly depe…