Travelled to:1 × Finland
1 × Turkey
1 × USA
2 × Canada
Collaborated with:M.Dundar B.Krishnapuram S.Yu M.Wolf S.Lakare M.Salganicoff J.Bi R.B.Rao D.N.Zotkin R.Duraiswami L.S.Davis A.Mohan S.Badve R.K.Jain O.Sertel M.N.Gurcan L.H.Zhao A.K.Jerebko C.Florin G.H.Valadez L.Bogoni L.Moy
Talks about:multipl (3) learn (3) classifi (2) instanc (2) transfer (1) tradeoff (1) supervis (1) polyhedr (1) patholog (1) colorect (1)
Person: Vikas C. Raykar
DBLP: Raykar:Vikas_C=
Contributed to:
2010
2010
200920082002Wrote 6 papers:
- ICPR-2010-DundarBRJSG #approach #classification #learning #multi #towards
- A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides (MD, SB, VCR, RKJ, OS, MNG), pp. 2732–2735.
- KDD-2010-RaykarKY #classification #design #performance #trade-off
- Designing efficient cascaded classifiers: tradeoff between accuracy and cost (VCR, BK, SY), pp. 853–860.
- ICML-2009-RaykarYZJFVBM #learning #multi #trust
- Supervised learning from multiple experts: whom to trust when everyone lies a bit (VCR, SY, LHZ, AKJ, CF, GHV, LB, LM), pp. 889–896.
- ICML-2008-DundarWLSR #case study #classification #detection
- Polyhedral classifier for target detection: a case study: colorectal cancer (MD, MW, SL, MS, VCR), pp. 288–295.
- ICML-2008-RaykarKBDR #automation #feature model #induction #learning #multi
- Bayesian multiple instance learning: automatic feature selection and inductive transfer (VCR, BK, JB, MD, RBR), pp. 808–815.
- ICPR-v3-2002-ZotkinDDMR #parametricity #using #visual notation
- Virtual Audio System Customization Using Visual Matching of Ear Parameters (DNZ, RD, LSD, AM, VCR), pp. 1003–1006.