Travelled to:1 × China
1 × Ireland
1 × United Kingdom
2 × USA
3 × Spain
Collaborated with:M.S.Desarkar S.Ghosh D.D.Majumder P.Chheda M.Faruqui S.Sarkar G.Pandey H.Gupta M.Banerjee M.K.Kundu C.A.Murthy S.K.Pal A.De N.Ganguly P.Guha A.Mukerjee K.S.Venkatesh
Talks about:support (3) vector (3) learn (3) use (3) structur (2) content (2) machin (2) activ (2) gene (2) data (2)
Person: Pabitra Mitra
DBLP: Mitra:Pabitra
Contributed to:
2012
20122010
20082006
200520042000Wrote 9 papers:
- ECIR-2012-ChhedaFM #word
- Handling OOV Words in Indian-language — English CLIR (PC, MF, PM), pp. 476–479.
- RecSys-2012-DeDGM #difference #learning #using
- Local learning of item dissimilarity using content and link structure (AD, MSD, NG, PM), pp. 221–224.
- RecSys-2010-DesarkarSM #collaboration #graph #predict #rating
- Aggregating preference graphs for collaborative rating prediction (MSD, SS, PM), pp. 21–28.
- ICPR-2008-GhoshM #classification #documentation #kernel #similarity #using #xml
- Combining content and structure similarity for XML document classification using composite SVM kernels (SG, PM), pp. 1–4.
- ICPR-v1-2006-GuhaMVM #process
- Activity Discovery from Surveillance Videos (PG, AM, KSV, PM), pp. 433–436.
- SAC-2005-PandeyGM #algorithm #learning #probability #scheduling
- Stochastic scheduling of active support vector learning algorithms (GP, HG, PM), pp. 38–42.
- ICPR-v2-2004-BanerjeeKM #detection #using
- Corner Detection Using Support Vector Machines (MB, MKK, PM), pp. 819–822.
- ICPR-v2-2004-MitraM #clustering #feature model
- Feature Selection and Gene Clustering from Gene Expression Data (PM, DDM), pp. 343–346.
- ICPR-v2-2000-MitraMP #database #incremental #learning #scalability
- Data Condensation in Large Databases by Incremental Learning with Support Vector Machines (PM, CAM, SKP), pp. 2708–2711.