Travelled to:1 × Australia
1 × Canada
1 × China
1 × France
5 × USA
Collaborated with:M.Ishteva L.Song D.Kuang J.Choo J.Ye R.Janardan Q.Li L.Li G.Lebanon W.Lim M.Kim K.Jung B.L.Drake J.Kang C.H.Q.Ding T.Li W.Peng H.Kim J.Kim C.K.Reddy A.P.Parikh E.P.Xing H.Xiong V.Kumar
Talks about:discrimin (3) nonneg (3) matrix (3) factor (3) decomposit (2) structur (2) hierarch (2) nyström (2) cluster (2) analysi (2)
Person: Haesun Park
DBLP: Park:Haesun
Contributed to:
2015
2015201320132012
2008200620042004Wrote 10 papers:
- ICML-2015-LimKPJ #performance #scalability #set
- Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets (WL, MK, HP, KJ), pp. 1367–1375.
- KDD-2015-KimCKRP #matrix #topic
- Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization (HK, JC, JK, CKR, HP), pp. 567–576.
- ICML-c3-2013-IshtevaPS #order #using
- Unfolding Latent Tree Structures using 4th Order Tensors (MI, HP, LS), pp. 316–324.
- ICML-c3-2013-SongIPXP #composition #modelling #visual notation
- Hierarchical Tensor Decomposition of Latent Tree Graphical Models (LS, MI, APP, EPX, HP), pp. 334–342.
- KDD-2013-KuangP #clustering #documentation #matrix #performance
- Fast rank-2 nonnegative matrix factorization for hierarchical document clustering (DK, HP), pp. 739–747.
- KDD-2012-LiLP #coordination #performance #using
- Fast bregman divergence NMF using taylor expansion and coordinate descent (LL, GL, HP), pp. 307–315.
- ICPR-2008-ParkCDK #analysis #clustering #linear
- Linear discriminant analysis for data with subcluster structure (HP, JC, BLD, JK), pp. 1–4.
- KDD-2006-DingLPP #clustering #matrix #orthogonal
- Orthogonal nonnegative matrix t-factorizations for clustering (CHQD, TL, WP, HP), pp. 126–135.
- ICML-2004-YeJLP #analysis #feature model #linear
- Feature extraction via generalized uncorrelated linear discriminant analysis (JY, RJ, QL, HP).
- KDD-2004-YePLJXK #algorithm #composition #incremental #named #reduction
- IDR/QR: an incremental dimension reduction algorithm via QR decomposition (JY, QL, HX, HP, RJ, VK), pp. 364–373.