Shrihari Vasudevan

36 papers A* 3A 3C 2Misc 2Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
Sequential Binary Classification for Intrusion Detection in Software Defined Networks.
CoRR
Ishan Chokshi, Shrihari Vasudevan, Nachiappan Sundaram, Raaghul Ranganathan
2023 Misc conf
Bayesian Regression for Interpretable Network Dimensioning.
COMSNETS
Shrihari Vasudevan, Sleeba Paul Puthepurakel, Marcial Gutierrez, M. J. Prasath
2023 Misc conf
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods.
COMSNETS
Venkatachalam Natchiappan, Shrihari Vasudevan, Thalanayar Muthukumar
2022 C conf
Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection.
ICMLA
Gautham Krishna Gudur, Raaghul R, Adithya K, Shrihari Vasudevan
2022 J jnl
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods.
CoRR
Venkatachalam Natchiappan, Shrihari Vasudevan, Thalanayar Muthukumar
2020 J jnl
Mutual Information Based Learning Rate Decay for Stochastic Gradient Descent Training of Deep Neural Networks.
Entropy
Shrihari Vasudevan
2019 J jnl
Layer Dynamics of Linearised Neural Nets.
CoRR
Saurav Basu, Koyel Mukherjee, Shrihari Vasudevan
2018 J jnl
Dynamic learning rate using Mutual Information.
CoRR
Shrihari Vasudevan
2018 J jnl
Estimating Fungibility Between Skills by Combining Skill Similarities Obtained from Multiple Data Sources.
Data Sci. Eng.
Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Benjamin Zweig, Brian Johnston, Rachel Rosenfeld
2017 — conf
Estimating Fungibility Between Skills by Combining Skill-Similarities Obtained from Multiple Data Sources.
ICDM Workshops
Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Ben Zweig, Brian Johnston, Rachel Rosenfeld
2017 — conf
Propensity modeling for employee Re-skilling.
GlobalSIP
Moninder Singh, Karthikeyan Natesan Ramamurthy, Shrihari Vasudevan
2015 — conf
Fine-grained multi-factor hail damage modelling.
TAAI
Melanie E. Roberts, Shrihari Vasudevan
2014 — conf
Bearing and gear failure detection for brushless DC motors with adaptive feature extraction and classification.
AIM
Jose F. Zubizarreta-Rodriguez, Shrihari Vasudevan
2014 — conf
Condition monitoring of brushless DC motors with non-stationary dynamic conditions.
I2MTC
Jose F. Zubizarreta-Rodriguez, Shrihari Vasudevan
2012 J jnl
Data fusion with Gaussian processes.
Robotics Auton. Syst.
Shrihari Vasudevan
2012 J jnl
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot.
J. Intell. Robotic Syst.
Arnau Ramisa, David Aldavert, Shrihari Vasudevan, Ricardo Toledo, Ramón López de Mántaras
2012 — conf
Information fusion in multi-task Gaussian process models.
MFI
Shrihari Vasudevan, Arman Melkumyan, Steven Scheding
2012 J jnl
Information fusion in multi-task Gaussian processes
CoRR
Shrihari Vasudevan, Arman Melkumyan, Steven Scheding
2011 J jnl
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot
CoRR
Arnau Ramisa, David Aldavert, Shrihari Vasudevan, Ricardo Toledo, Ramón López de Mántaras
2011 A* conf
Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling.
ICRA
Shrihari Vasudevan, Fabio Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
2010 J jnl
A Mine on Its Own.
IEEE Robotics Autom. Mag.
Shrihari Vasudevan, Fabio Tozeto Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
2010 A* conf
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling.
ICRA
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
2010 A conf
Hybrid elevation maps: 3D surface models for segmentation.
IROS
Bertrand Douillard, James Patrick Underwood, Narek Melkumyan, Surya P. N. Singh, Shrihari Vasudevan, Christopher Joseph Brunner, Alastair James Quadros
2010 A conf
Large-scale terrain modeling from multiple sensors with dependent Gaussian processes.
IROS
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
2009 — conf
Evaluation of the SIFT Object Recognition Method in Mobile Robots.
CCIA
Arnau Ramisa, Shrihari Vasudevan, David Aldavert, Ricardo Toledo, Ramón López de Mántaras
2009 A* conf
Gaussian Process modeling of large scale terrain.
ICRA
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte, Allan Blair
2009 J jnl
Gaussian process modeling of large-scale terrain.
J. Field Robotics
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
2008 C conf
A Tale of Two Object Recognition Methods for Mobile Robots.
ICVS
Arnau Ramisa, Shrihari Vasudevan, Davide Scaramuzza, Ramón López de Mántaras, Roland Siegwart
2008 J jnl
Bayesian space conceptualization and place classification for semantic maps in mobile robotics.
Robotics Auton. Syst.
Shrihari Vasudevan, Roland Siegwart
2007 — conf
A Bayesian Approach to Conceptualization and Place Classification: Using the Number of Occurrences of Objects to Infer Concepts.
EMCR
Shrihari Vasudevan, Ahad Harati, Roland Siegwart
2007 A conf
A bayesian conceptualization of space for mobile robots.
IROS
Shrihari Vasudevan, Roland Siegwart
2007 J jnl
Cognitive maps for mobile robots - an object based approach.
Robotics Auton. Syst.
Shrihari Vasudevan, Stefan Gächter, Viet Nguyen, Roland Siegwart
2006 — conf
A Hierarchical Concept Oriented Representation for Spatial Cognition in Mobile Robots.
50 Years of Artificial Intelligence
Shrihari Vasudevan, Stefan Gächter, Ahad Harati, Roland Siegwart
2005 — conf
Towards a multilevel cognitive probabilistic representation of space.
Human Vision and Electronic Imaging
Adriana Tapus, Shrihari Vasudevan, Roland Siegwart
2004 — conf
Biologically inspired feature-based categorization of objects.
Human Vision and Electronic Imaging
T. Nathan Mundhenk, Vidhya Navalpakkam, Hendrik Makaliwe, Shrihari Vasudevan, Laurent Itti
2004 — conf
From Geometric to Cognitive Maps - A Key Element for Personal Robots.
IFIP Congress Topical Sessions
Roland Siegwart, Shrihari Vasudevan, Adriana Tapus