Biologically inspired feature-based categorization of objects. - T. Nathan Mundhenk; Vidhya Navalpakkam; Hendrik Makaliwe; Shrihari Vasudevan; Laurent Itti (Human Vision and Electronic Imaging, 2004)

From Geometric to Cognitive Maps - A Key Element for Personal Robots. - Roland Siegwart; Shrihari Vasudevan; Adriana Tapus (IFIP Congress Topical Sessions, 2004)

Towards a multilevel cognitive probabilistic representation of space. - Adriana Tapus; Shrihari Vasudevan; Roland Siegwart (Human Vision and Electronic Imaging, 2005)

A Hierarchical Concept Oriented Representation for Spatial Cognition in Mobile Robots. - Shrihari Vasudevan; Stefan Gächter; Ahad Harati; Roland Siegwart (50 Years of Artificial Intelligence, 2006)

A Bayesian Approach to Conceptualization and Place Classification: Using the Number of Occurrences of Objects to Infer Concepts. - Shrihari Vasudevan; Ahad Harati; Roland Siegwart (EMCR, 2007)

A bayesian conceptualization of space for mobile robots. - Shrihari Vasudevan; Roland Siegwart (IROS, 2007)

Cognitive maps for mobile robots - an object based approach. - Shrihari Vasudevan; Stefan Gächter; Viet Nguyen; Roland Siegwart (Robotics Auton. Syst., 2007)

A Tale of Two Object Recognition Methods for Mobile Robots. - Arnau Ramisa; Shrihari Vasudevan; Davide Scaramuzza 001; Ramón López de Mántaras; Roland Siegwart (ICVS, 2008)

Bayesian space conceptualization and place classification for semantic maps in mobile robotics. - Shrihari Vasudevan; Roland Siegwart (Robotics Auton. Syst., 2008)

Evaluation of the SIFT Object Recognition Method in Mobile Robots. - Arnau Ramisa; Shrihari Vasudevan; David Aldavert; Ricardo Toledo; Ramón López de Mántaras (CCIA, 2009)

Gaussian Process modeling of large scale terrain. - Shrihari Vasudevan; Fabio T. Ramos 001; Eric Nettleton; Hugh F. Durrant-Whyte; Allan Blair (ICRA, 2009)

Gaussian process modeling of large-scale terrain. - Shrihari Vasudevan; Fabio T. Ramos 001; Eric Nettleton; Hugh F. Durrant-Whyte (J. Field Robotics, 2009)

Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling. - Shrihari Vasudevan; Fabio T. Ramos 001; Eric Nettleton; Hugh F. Durrant-Whyte (ICRA, 2010)

Hybrid elevation maps: 3D surface models for segmentation. - Bertrand Douillard; James Patrick Underwood; Narek Melkumyan; Surya P. N. Singh; Shrihari Vasudevan; Christopher Joseph Brunner; Alastair James Quadros (IROS, 2010)

Large-scale terrain modeling from multiple sensors with dependent Gaussian processes. - Shrihari Vasudevan; Fabio T. Ramos 001; Eric Nettleton; Hugh F. Durrant-Whyte (IROS, 2010)

A Mine on Its Own. - Shrihari Vasudevan; Fabio Tozeto Ramos; Eric Nettleton; Hugh F. Durrant-Whyte (IEEE Robotics Autom. Mag., 2010)

Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling. - Shrihari Vasudevan; Fabio Ramos 001; Eric Nettleton; Hugh F. Durrant-Whyte (ICRA, 2011)

Information fusion in multi-task Gaussian process models. - Shrihari Vasudevan; Arman Melkumyan; Steven Scheding (MFI, 2012)

Information fusion in multi-task Gaussian processes - Shrihari Vasudevan; Arman Melkumyan; Steven Scheding (CoRR, 2012)

Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot. - Arnau Ramisa; David Aldavert; Shrihari Vasudevan; Ricardo Toledo; Ramón López de Mántaras (J. Intell. Robotic Syst., 2012)

Data fusion with Gaussian processes. - Shrihari Vasudevan (Robotics Auton. Syst., 2012)

Bearing and gear failure detection for brushless DC motors with adaptive feature extraction and classification. - Jose F. Zubizarreta-Rodriguez; Shrihari Vasudevan (AIM, 2014)

Condition monitoring of brushless DC motors with non-stationary dynamic conditions. - Jose F. Zubizarreta-Rodriguez; Shrihari Vasudevan (I2MTC, 2014)

Fine-grained multi-factor hail damage modelling. - Melanie E. Roberts; Shrihari Vasudevan (TAAI, 2015)

Propensity modeling for employee Re-skilling. - Moninder Singh; Karthikeyan Natesan Ramamurthy; Shrihari Vasudevan (GlobalSIP, 2017)

Dynamic learning rate using Mutual Information. - Shrihari Vasudevan (CoRR, 2018)

Estimating Fungibility Between Skills by Combining Skill Similarities Obtained from Multiple Data Sources. - Shrihari Vasudevan; Moninder Singh; Joydeep Mondal; Michael Peran; Benjamin Zweig; Brian Johnston; Rachel Rosenfeld (Data Sci. Eng., 2018)

Layer Dynamics of Linearised Neural Nets. - Saurav Basu; Koyel Mukherjee; Shrihari Vasudevan (CoRR, 2019)

Mutual Information Based Learning Rate Decay for Stochastic Gradient Descent Training of Deep Neural Networks. - Shrihari Vasudevan (Entropy, 2020)

Data-Efficient Automatic Model Selection in Unsupervised Anomaly Detection. - Gautham Krishna Gudur; Raaghul R; Adithya K; Shrihari Vasudevan (ICMLA, 2022)

Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods. - Venkatachalam Natchiappan; Shrihari Vasudevan; Thalanayar Muthukumar (COMSNETS, 2023)

Bayesian Regression for Interpretable Network Dimensioning. - Shrihari Vasudevan; Sleeba Paul Puthepurakel; Marcial Gutierrez; M. J. Prasath (COMSNETS, 2023)

Sequential Binary Classification for Intrusion Detection in Software Defined Networks. - Ishan Chokshi; Shrihari Vasudevan; Nachiappan Sundaram; Raaghul Ranganathan (CoRR, 2024)