Prasanth Lade
Prasanth Lade
Geverifieerd e-mailadres voor us.bosch.com - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Conformal prediction for reliable machine learning: theory, adaptations and applications
V Balasubramanian, SS Ho, V Vovk
Newnes, 2014
892014
Manufacturing analytics and industrial internet of things
P Lade, R Ghosh, S Srinivasan
IEEE Intelligent Systems 32 (3), 74-79, 2017
782017
HMM-based online handwriting recognition system for Telugu symbols
V Babu, L Prasanth, R Sharma, GV Rao, A Bharath
Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007
612007
Elastic Matching of Online Handwritten Tamil and Telugu Scripts Using Local Features
L Prasanth, J Babu, R Sharma R, PGV Rao, D M
492007
Activity gesture spotting using a threshold model based on adaptive boosting
NC Krishnan, P Lade, S Panchanathan
2010 IEEE International Conference on Multimedia and Expo, 155-160, 2010
222010
Coupled support vector machines for supervised domain adaptation
H Venkateswara, P Lade, J Ye, S Panchanathan
Proceedings of the 23rd ACM international conference on Multimedia, 1295-1298, 2015
92015
Detection of changes in human affect dimensions using an Adaptive Temporal Topic model
P Lade, VN Balasubramanian, H Venkateswara, S Panchanathan
2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013
72013
How Many Eyeballs Does a Bug Need? An Empirical Validation of Linus’ Law
S Datta, P Sarkar, S Das, S Sreshtha, P Lade, S Majumder
International Conference on Agile Software Development, 242-250, 2014
62014
Multiresolution Match Kernels for gesture video classification
H Venkateswara, VN Balasubramanian, P Lade, S Panchanathan
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-4, 2013
62013
Task prediction in cooking activities using hierarchical state space markov chain and object based task grouping
P Lade, NC Krishnan, S Panchanathan
2010 IEEE International Symposium on Multimedia, 284-289, 2010
62010
Efficient approximate solutions to mutual information based global feature selection
H Venkateswara, P Lade, B Lin, J Ye, S Panchanathan
2015 IEEE International Conference on Data Mining, 1009-1014, 2015
52015
HMM-based online handwriting recognition system for telugu symbols
V Jagadeesh Babu, L Prasanth, R Raghunath Sharma, ...
52007
Will this be Quick? A Case Study of Bug Resolution Times across Industrial Projects
S Datta, P Lade
Proceedings of the 8th India Software Engineering Conference, 20-29, 2015
32015
Latent facial topics for affect analysis
P Lade, VN Balasubramanian, S Panchanathan
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2013
32013
Causal Discovery for Manufacturing Domains
K Marazopoulou, R Ghosh, P Lade, D Jensen
arXiv preprint arXiv:1605.04056, 2016
22016
Probabilistic Topic Models for Human Emotion Analysis
P Lade, VN Balasubramanian, S Panchanathan
2*
Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift
S Das, P Lade, S Srinivasan
arXiv preprint arXiv:2002.04094, 2020
12020
Methods and systems for root cause analysis for assembly lines using path tracking
JK Thompson, M Frankmann, GT Cinar, CE Cunha, P Lade
US Patent 10,430,269, 2019
12019
Model adaption and online learning for unstable environments
S Das, P Lade, S Srinivasan, R Ghosh
US Patent App. 15/346,707, 2017
12017
Regularized supervised topic model for continuous emotion analysis
P Lade, H Venkateswara, S Panchanathan
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
12015
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20