Nakul Verma
Nakul Verma
Verified email at - Homepage
Cited by
Cited by
Method and system using keyword vectors and associated metrics for learning and prediction of user correlation of targeted content messages in a mobile environment
D Krishnaswamy, N Verma, V Bychkovsky
US Patent 9,705,998, 2017
Learning the structure of manifolds using random projections
Y Freund, S Dasgupta, M Kabra, N Verma
Advances in Neural Information Processing Systems 20, 473-480, 2007
Learning Hierarchical Similarity Metrics
N Verma, D Mahajan, S Sellamanickam, V Nair
Computer Vision and Pattern Recognition (CVPR), 2012
Method and system for keyword correlation in a mobile environment
D Krishnaswamy, N Verma, V Bychkovsky
US Patent App. 12/268,914, 2009
CitiSense: improving geospatial environmental assessment of air quality using a wireless personal exposure monitoring system
N Nikzad, N Verma, C Ziftci, E Bales, N Quick, P Zappi, K Patrick, ...
Proceedings of the conference on Wireless Health, 11, 2012
Which spatial partition trees are adaptive to intrinsic dimension?
N Verma, S Kpotufe, S Dasgupta
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009
Delivery of targeted content related to a learned and predicted future behavior based on spatial, temporal, and user attributes and behavioral constraints
D Krishnaswamy, RS Daley, N Verma
US Patent App. 12/779,372, 2011
Multiple Instance Learning with Manifold Bags
B Babenko, N Verma, P Dollar, S Belongie
International Conference on Machine Learning, 2011
Distance Preserving Embeddings for General n-Dimensional Manifolds
N Verma
Journal of Machine Learning Research (JMLR), 2012
A concentration theorem for projections
S Dasgupta, D Hsu, N Verma
Proceedings of the Twenty-Second Conference on Uncertainty in Artificial …, 2006
Cortical pattern generation during dexterous movement is input-driven
BA Sauerbrei, JZ Guo, JD Cohen, M Mischiati, W Guo, M Kabra, N Verma, ...
Nature, 1-6, 2019
Sample complexity of learning Mahalanobis distance metrics
N Verma, K Branson
Advances in Neural Information Processing Systems, 2584-2592, 2015
Citisense: mobile air quality sensing for individuals and communities
C Ziftci, N Nikzad, N Verma, P Zappi, E Bales, I Krueger, W Griswold
Proceedings of the 3rd annual conference on Systems, programming, and …, 2012
A note on random projections for preserving paths on a manifold
N Verma
Latent variables based data estimation for sensing applications
N Verma, P Zappi, T Rosing
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP …, 2011
CitiSense–Adaptive Services for Community-Driven Behavioral and Environmental Monitoring to Induce Change
N Nikzad, C Ziftci, P Zappi, N Quick, P Aghera, N Verma, B Demchak, ...
Metric Learning on Manifolds
M Aalto, N Verma
arXiv preprint arXiv:1902.01738, 2019
Efficient energy management and data recovery in sensor networks using latent variables based tensor factorization
B Milosevic, J Yang, N Verma, SS Tilak, P Zappi, E Farella, L Benini, ...
Proceedings of the 16th ACM international conference on Modeling, analysis …, 2013
Noise-tolerant fair classification
A Lamy, Z Zhong, AK Menon, N Verma
Advances in Neural Information Processing Systems, 294-306, 2019
Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality
S Kpotufe, N Verma
Journal of Machine Learning Research 18 (44), 1-29, 2017
The system can't perform the operation now. Try again later.
Articles 1–20