Travelled to:1 × Australia
1 × Spain
1 × USA
3 × Canada
Collaborated with:T.S.Huang D.Roth I.Cohen N.Oliver S.Har-Peled V.Pavlovic S.Agarwal N.Sebe M.S.Lew
Talks about:distribut (2) recognit (2) classifi (2) margin (2) inform (2) overhead (1) bayesian (1) project (1) network (1) maximum (1)
Person: Ashutosh Garg
DBLP: Garg:Ashutosh
Contributed to:
20032002
2002200220022000Wrote 7 papers:
- ICML-2003-GargR #learning
- Margin Distribution and Learning (AG, DR), pp. 210–217.
- ICML-2002-GargHR #bound #on the
- On generalization bounds, projection profile, and margin distribution (AG, SHP, DR), pp. 171–178.
- ICML-2002-OliverG #markov #modelling #named
- MMIHMM: Maximum Mutual Information Hidden Markov Models (NO, AG), pp. 466–473.
- ICPR-v1-2002-SebeLCGH #classification #naive bayes #recognition #using
- Emotion Recognition Using a Cauchy Naive Bayes Classifier (NS, MSL, IC, AG, TSH), p. 17–?.
- ICPR-v2-2002-GargPH #classification #network
- Bayesian Networks as Ensemble of Classifiers (AG, VP, TSH), pp. 779–784.
- ICPR-v3-2002-GargAH #detection #information management
- Fusion of Global and Local Information for Object Detection (AG, SA, TSH), p. 723–?.
- ICPR-v1-2000-CohenGH #recognition
- Vision-Based Overhead View Person Recognition (IC, AG, TSH), pp. 5119–5124.