Shrihari Vasudevan

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 12

Top Topics

Anomaly Detection

Statistical Models

Regression Methods

Top Venues

Publications

Ishan Chokshi, Shrihari Vasudevan, Nachiappan Sundaram, Raaghul Ranganathan
Sequential Binary Classification for Intrusion Detection in Software Defined Networks. CoRR (2024)
Venkatachalam Natchiappan, Shrihari Vasudevan, Thalanayar Muthukumar
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods. COMSNETS (2023)
Shrihari Vasudevan, Sleeba P. Puthennurakel, Marcial Gutierrez, M. J. Prasath
Bayesian Regression for Interpretable Network Dimensioning. COMSNETS (2023)
Venkatachalam Natchiappan, Shrihari Vasudevan, Thalanayar Muthukumar
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods. CoRR (2022)
Gautham Krishna Gudur, Raaghul R, Adithya K, Shrihari Vasudevan
Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection. ICMLA (2022)
Shrihari Vasudevan
Mutual Information Based Learning Rate Decay for Stochastic Gradient Descent Training of Deep Neural Networks. Entropy 22 (5) (2020)
Saurav Basu, Koyel Mukherjee, Shrihari Vasudevan
Layer Dynamics of Linearised Neural Nets. CoRR (2019)
Shrihari Vasudevan
Dynamic learning rate using Mutual Information. CoRR (2018)
Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Benjamin Zweig, Brian Johnston, Rachel Rosenfeld
Estimating Fungibility Between Skills by Combining Skill Similarities Obtained from Multiple Data Sources. Data Sci. Eng. 3 (3) (2018)
Shrihari Vasudevan, Moninder Singh, Joydeep Mondal, Michael Peran, Ben Zweig, Brian Johnston, Rachel Rosenfeld
Estimating Fungibility Between Skills by Combining Skill-Similarities Obtained from Multiple Data Sources. ICDM Workshops (2017)
Moninder Singh, Karthikeyan Natesan Ramamurthy, Shrihari Vasudevan
Propensity modeling for employee Re-skilling. GlobalSIP (2017)
Melanie E. Roberts, Shrihari Vasudevan
Fine-grained multi-factor hail damage modelling. TAAI (2015)
Jose F. Zubizarreta-Rodriguez, Shrihari Vasudevan
Condition monitoring of brushless DC motors with non-stationary dynamic conditions. I2MTC (2014)
Jose F. Zubizarreta-Rodriguez, Shrihari Vasudevan
Bearing and gear failure detection for brushless DC motors with adaptive feature extraction and classification. AIM (2014)
Shrihari Vasudevan, Arman Melkumyan, Steven Scheding
Information fusion in multi-task Gaussian process models. MFI (2012)
Shrihari Vasudevan
Data fusion with Gaussian processes. Robotics Auton. Syst. 60 (12) (2012)
Shrihari Vasudevan, Arman Melkumyan, Steven Scheding
Information fusion in multi-task Gaussian processes CoRR (2012)
Arnau Ramisa, David Aldavert, Shrihari Vasudevan, Ricardo Toledo, Ramón López de Mántaras
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot. J. Intell. Robotic Syst. 68 (2) (2012)
Arnau Ramisa, David Aldavert, Shrihari Vasudevan, Ricardo Toledo, Ramón López de Mántaras
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot CoRR (2011)
Shrihari Vasudevan, Fabio Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling. ICRA (2011)
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
Large-scale terrain modeling from multiple sensors with dependent Gaussian processes. IROS (2010)
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling. ICRA (2010)
Shrihari Vasudevan, Fabio Tozeto Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
A Mine on Its Own. IEEE Robotics Autom. Mag. 17 (2) (2010)
Bertrand Douillard, James Patrick Underwood, Narek Melkumyan, Surya P. N. Singh, Shrihari Vasudevan, Christopher Joseph Brunner, Alastair James Quadros
Hybrid elevation maps: 3D surface models for segmentation. IROS (2010)
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte
Gaussian process modeling of large-scale terrain. J. Field Robotics 26 (10) (2009)
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton, Hugh F. Durrant-Whyte, Allan Blair
Gaussian Process modeling of large scale terrain. ICRA (2009)
Arnau Ramisa, Shrihari Vasudevan, David Aldavert, Ricardo Toledo, Ramón López de Mántaras
Evaluation of the SIFT Object Recognition Method in Mobile Robots. CCIA (2009)
Shrihari Vasudevan, Roland Siegwart
Bayesian space conceptualization and place classification for semantic maps in mobile robotics. Robotics Auton. Syst. 56 (6) (2008)
Arnau Ramisa, Shrihari Vasudevan, Davide Scaramuzza, Ramón López de Mántaras, Roland Siegwart
A Tale of Two Object Recognition Methods for Mobile Robots. ICVS (2008)
Shrihari Vasudevan, Stefan Gächter, Viet Nguyen, Roland Siegwart
Cognitive maps for mobile robots - an object based approach. Robotics Auton. Syst. 55 (5) (2007)
Shrihari Vasudevan, Roland Siegwart
A bayesian conceptualization of space for mobile robots. IROS (2007)
Shrihari Vasudevan, Ahad Harati, Roland Siegwart
A Bayesian Approach to Conceptualization and Place Classification: Using the Number of Occurrences of Objects to Infer Concepts. EMCR (2007)
Shrihari Vasudevan, Stefan Gächter, Ahad Harati, Roland Siegwart
A Hierarchical Concept Oriented Representation for Spatial Cognition in Mobile Robots. 50 Years of Artificial Intelligence (2006)
Adriana Tapus, Shrihari Vasudevan, Roland Siegwart
Towards a multilevel cognitive probabilistic representation of space. Human Vision and Electronic Imaging (2005)
Roland Siegwart, Shrihari Vasudevan, Adriana Tapus
From Geometric to Cognitive Maps - A Key Element for Personal Robots. IFIP Congress Topical Sessions (2004)
T. Nathan Mundhenk, Vidhya Navalpakkam, Hendrik Makaliwe, Shrihari Vasudevan, Laurent Itti
Biologically inspired feature-based categorization of objects. Human Vision and Electronic Imaging (2004)