Travelled to:1 × Canada
3 × USA
Collaborated with:J.Ye Q.Li H.Park H.Xiong V.Kumar T.Xiong J.Bi V.Cherkassky C.Kambhamettu K.Chen T.Wu J.Li Z.Zhao R.Patel M.Bae H.Liu G.E.Alexander E.Reiman
Talks about:discrimin (2) analysi (2) reduct (2) linear (2) effici (2) dimens (2) decomposit (1) increment (1) heterogen (1) algorithm (1)
Person: Ravi Janardan
DBLP: Janardan:Ravi
Contributed to:
2008
2006
20042004Wrote 5 papers:
- KDD-2008-YeCWLZPBJLAR #data fusion #semistructured data
- Heterogeneous data fusion for alzheimer’s disease study (JY, KC, TW, JL, ZZ, RP, MB, RJ, HL, GEA, ER), pp. 1025–1033.
- CIKM-2006-YeXLJBCK #analysis #linear #performance
- Efficient model selection for regularized linear discriminant analysis (JY, TX, QL, RJ, JB, VC, CK), pp. 532–539.
- ICML-2004-YeJLP #analysis #feature model #linear
- Feature extraction via generalized uncorrelated linear discriminant analysis (JY, RJ, QL, HP).
- KDD-2004-YeJL #image #named #performance #reduction #retrieval
- GPCA: an efficient dimension reduction scheme for image compression and retrieval (JY, RJ, QL), pp. 354–363.
- 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.