Travelled to:
1 × France
2 × Canada
2 × Spain
4 × USA
Collaborated with:
T.S.Huang J.R.Smith S.Sahu A.Natsev J.Dai C.Lin B.L.Tseng T.Erickson Y.Kim T.Chao L.S.Chen B.J.Frey S.Basu H.Fei S.K.Mamidipalli J.Hutchinson M.Podlaseck F.Chen B.Wang C.Lu M.Li A.Deshpande P.Sukaviriya C.Neti H.J.Nock W.H.Adams
Talks about:
video (3) use (3) residenti (2) feedback (2) consumpt (2) content (2) semant (2) portal (2) electr (2) dubuqu (2)
Person: Milind R. Naphade
DBLP: Naphade:Milind_R=
Contributed to:
Wrote 9 papers:
- CHI-2013-EricksonLKDSCSN #evaluation #feedback
- The dubuque electricity portal: evaluation of a city-scale residential electricity consumption feedback system (TE, ML, YK, AD, SS, TC, PS, MRN), pp. 1203–1212.
- KDD-2013-FeiKSNMH #detection #learning
- Heat pump detection from coarse grained smart meter data with positive and unlabeled learning (HF, YK, SS, MRN, SKM, JH), pp. 1330–1338.
- CHI-2012-EricksonPSDCN #evaluation #feedback
- The dubuque water portal: evaluation of the uptake, use and impact of residential water consumption feedback (TE, MP, SS, JD, TC, MRN), pp. 675–684.
- KDD-2011-ChenDWSNL #analysis #process
- Activity analysis based on low sample rate smart meters (FC, JD, BW, SS, MRN, CTL), pp. 240–248.
- KDD-2004-NatsevNS #mining #multi #representation #semantics
- Semantic representation: search and mining of multimedia content (AN, MRN, JRS), pp. 641–646.
- SIGIR-2003-LinNNNSTNA #multimodal #using #video
- User-trainable video annotation using multimodal cues (CYL, MRN, AN, CN, JRS, BLT, HJN, WHA), pp. 403–404.
- ICPR-v2-2002-NaphadeBSLT #approach #modelling #retrieval #statistics #video
- A Statistical Modeling Approach to Content Based Video Retrieval (MRN, SB, JRS, CYL, BLT), pp. 953–956.
- ICPR-v2-2000-NaphadeCHF #learning #modelling #multi
- Learning Sparse Multiple Cause Models (MRN, LSC, TSH, BJF), pp. 2642–2647.
- ICPR-v3-2000-NaphadeH #framework #probability #semantics #using #video
- Semantic Video Indexing Using a Probabilistic Framework (MRN, TSH), pp. 3083–3088.