Fabio Tozeto Ramos

发表

Laser-Radar Data Fusion with Gaussian Process Implicit Surfaces

Marcos P. Gerardo-Castro, Thierry Peynot, Fabio Tozeto Ramos, 2013, FSR.

Denoising aerial gamma-ray surveying through non-linear dimensionality reduction

Fabio Tozeto Ramos, Bruce Dickson, Suresh Kumar, 2007, J. Field Robotics.

A single-dependent agent approach for stochastic time-dependent truck dispatching in open-pit mining

Fabio Tozeto Ramos, Guilherme S. Bastos, Luiz E. Souza, 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds pdf

Richard Nock, Fabio Tozeto Ramos, Kelvin Hsu, 2018, ArXiv.

Inferring motion uncertainty from shape-Matching

Hugh F. Durrant-Whyte, Xuchu Mao, Fabio Tozeto Ramos, 2010, 2010 IEEE International Conference on Robotics and Automation.

Bayesian Fusion for Multi-Modal Aerial Images

Fabio Tozeto Ramos, Salah Sukkarieh, Alistair Reid, 2013, Robotics: Science and Systems.

Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent

Fabio Tozeto Ramos, Lionel Ott, 2015, Robotics: Science and Systems.

Markus Schneider, Fabio Tozeto Ramos, Wolfgang Ertel, 2016, Machine Learning.

Detecting stumbles with a single accelerometer

Gregory J. Pottie, Fabio Tozeto Ramos, Mohamed Nabil Hajj Chehade, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels pdf

Fabio Tozeto Ramos, Anthony Tompkins, F. Ramos, 2018, ArXiv.

Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Eric Nettleton, 2010, 2010 IEEE International Conference on Robotics and Automation.

Real-Time Clustering for Long-Term Autonomy

Fabio Tozeto Ramos, Lionel Ott, 2012, ISER.

Continuous Occupancy Mapping with Integral Kernels

Fabio Tozeto Ramos, Simon Timothy O'Callaghan, 2011, AAAI.

Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications

Fabio Tozeto Ramos, Salah Sukkarieh, Calvin Hung, 2010, ISER.

An adaptive data driven model for characterizing rock properties from Drilling data

Fabio Tozeto Ramos, Eric Nettleton, Hang Zhou, 2011, 2011 IEEE International Conference on Robotics and Automation.

Conditional Random Fields for Rock Characterization Using Drill Measurements

Sildomar T. Monteiro, Fabio Tozeto Ramos, Peter Hatherly, 2009, 2009 International Conference on Machine Learning and Applications.

Fast 3D Modeling with Approximated Convolutional Kernels

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, 2018, CoRL.

Gaussian Process modeling of large scale terrain

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Eric Nettleton, 2009, 2009 IEEE International Conference on Robotics and Automation.

Multi-task learning of system dynamics with maximum information gain

Fabio Tozeto Ramos, Jose F. Zubizarreta-Rodriguez, F. Ramos, 2011, 2011 IEEE International Conference on Robotics and Automation.

Improving Kernel Methods through Complex Data Mapping

Fabio Tozeto Ramos, Eric Nettleton, Hang Zhou, 2010, 2010 IEEE International Conference on Data Mining.

Activity recognition from a wearable camera

Fabio Tozeto Ramos, Kai Zhan, Steven Faux, 2012, 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV).

Efficient Large Scale SLAM Including Data Association using the Combined Filter

Fabio Tozeto Ramos, José Neira, Cesar Dario Cadena Lerma, 2009, ECMR.

A comparison of unsupervised learning algorithms for gesture clustering

Fabio Tozeto Ramos, Mari Velonaki, David C. Rye, 2011, 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining

Sildomar T. Monteiro, Fabio Tozeto Ramos, Joop van de Ven, 2011, IJCAI.

Learning to reconstruct 3D structures for occupancy mapping from depth and color information

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, F. Ramos, 2017, Robotics: Science and Systems.

Semi-parametric models for visual odometry

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, 2012, 2012 IEEE International Conference on Robotics and Automation.

A statistical framework for natural feature representation

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Suresh Kumar, 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

An integrated probabilistic model for scan-matching, moving object detection and motion estimation

Fabio Tozeto Ramos, Gian Diego Tipaldi, Joop van de Ven, 2010, 2010 IEEE International Conference on Robotics and Automation.

Large-scale terrain modeling from multiple sensors with dependent Gaussian processes

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Eric Nettleton, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Automated rock recognition with wavelet feature space projection and Gaussian Process classification

Sildomar T. Monteiro, Fabio Tozeto Ramos, Eric Nettleton, 2010, 2010 IEEE International Conference on Robotics and Automation.

CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching

Hugh F. Durrant-Whyte, Dieter Fox, Fabio Tozeto Ramos, 2007, Robotics: Science and Systems.

Learning to Race Through Coordinate Descent Bayesian Optimisation

Valdir Grassi, Fabio Tozeto Ramos, Lionel Ott, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Online self-supervised multi-instance segmentation of dynamic objects

Fabio Tozeto Ramos, Ben Upcroft, Alex Bewley, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments

Fabio Tozeto Ramos, Lionel Ott, Ransalu Senanayake, 2016, NIPS.

Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees

Fabio Tozeto Ramos, Tin Lai, Gilad Francis, 2018, 2019 International Conference on Robotics and Automation (ICRA).

Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent

Fabio Tozeto Ramos, Lionel Ott, F. Ramos, 2015, Robotics: Science and Systems.

Towards real-time 3D continuous occupancy mapping using Hilbert maps

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, F. Ramos, 2018, Int. J. Robotics Res..

Learning to close loops from range data

Thomas B. Schön, Karl Granström, Fabio Tozeto Ramos, 2011, Int. J. Robotics Res..

Egocentric Activity Recognition on a Budget

Fabio Tozeto Ramos, Rafael Possas, Sheila M. Pinto-Caceres, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Route planning for active classification with UAVs

Fabio Tozeto Ramos, Denis Fernando Wolf, Vitor Campanholo Guizilini, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Road junction detection from 3D point clouds

Fernando Santos Osório, Fabio Tozeto Ramos, Danilo Habermann, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Simple online and realtime tracking

Fabio Tozeto Ramos, Lionel Ott, Ben Upcroft, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Laser and Vision Based Outdoor Object Mapping

Dieter Fox, Fabio Tozeto Ramos, Bertrand Douillard, 2008, Robotics: Science and Systems.

Distributed Anytime MAP Inference pdf

Fabio Tozeto Ramos, Joop van de Ven, F. Ramos, 2011, UAI.

Adaptive Sensing for Learning Nonstationary Environment Models pdf

Fabio Tozeto Ramos, Amarjeet Singh, Sahil Garg, 2018, ArXiv.

Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments

Fabio Tozeto Ramos, Ransalu Senanayake, Anthony Tompkins, 2018, CoRL.

Periodic Kernel Approximation by Index Set Fourier Series Features

Fabio Tozeto Ramos, Anthony Tompkins, F. Ramos, 2019, UAI.

Bayesian optimisation under uncertain inputs

Fabio Tozeto Ramos, Lionel Ott, Rafael Oliveira, 2019, AISTATS.

Learning to reconstruct 3D structures for occupancy mapping from depth and color information

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, 2018, Int. J. Robotics Res..

Kernel Embeddings of Longitudinal Data

Fabio Tozeto Ramos, Darren Shen, 2016, Australasian Conference on Artificial Intelligence.

Unsupervised clustering of people from ‘skeleton’ data

Fabio Tozeto Ramos, Mari Velonaki, David C. Rye, 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

Applying Structural EM in Autonomous Planetary Exploration Missions using Hyperspectral Image Spectroscopy

Fabio Tozeto Ramos, X. Rosalind Wang, F. Ramos, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Improving Reinforcement Learning Pre-Training with Variational Dropout

Fabio Tozeto Ramos, Lionel Ott, Tom Blau, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Functional Path Optimisation for Exploration in Continuous Occupancy Maps pdf

Fabio Tozeto Ramos, Lionel Ott, Gilad Francis, 2018, ISRR.

Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images

Fabio Tozeto Ramos, Denis Fernando Wolf, Vitor Campanholo Guizilini, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Bayesian optimisation for active perception and smooth navigation

Fabio Tozeto Ramos, Lionel Ott, Denis Fernando Wolf, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Occupancy map building through Bayesian exploration

Fabio Tozeto Ramos, Lionel Ott, Román Marchant, 2017, Int. J. Robotics Res..

On Integrated Clustering and Outlier Detection

Fabio Tozeto Ramos, Sanjay Chawla, Lionel Ott, 2014, NIPS.

Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling

Fabio Tozeto Ramos, Anthony Tompkins, F. Ramos, 2018, AAAI.

A Novel Visual Perception Framework

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Suresh Kumar, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

Probabilistic Classification of Hyperspectral Images by Learning Nonlinear Dimensionality Reduction Mapping

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Suresh Kumar, 2006, 2006 9th International Conference on Information Fusion.

Contextual occupancy maps incorporating sensor and location uncertainty

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Simon Timothy O'Callaghan, 2010, 2010 IEEE International Conference on Robotics and Automation.

From grids to continuous occupancy maps through area kernels

Fabio Tozeto Ramos, Carlos E. O. Vido, F. Ramos, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference

Fabio Tozeto Ramos, Kelvin Hsu, 2019, AISTATS.

Unsupervised incremental learning for long-term autonomy

Fabio Tozeto Ramos, Lionel Ott, F. Ramos, 2012, 2012 IEEE International Conference on Robotics and Automation.

A Mine on Its Own

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Eric Nettleton, 2010, IEEE Robotics & Automation Magazine.

Combining Object Recognition and SLAM for Extended Map Representations

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Juan I. Nieto, 2006, ISER.

UAV route planning for active disease classification

Fabio Tozeto Ramos, Denis Fernando Wolf, Vitor Campanholo Guizilini, 2018, Auton. Robots.

Generating Random Bayesian Networks with Constraints on Induced Width

Fabio Gagliardi Cozman, Fabio Tozeto Ramos, Fábio Gagliardi Cozman, 2004, ECAI.

A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets

Fabio Tozeto Ramos, Arman Melkumyan, A. Melkumyan, 2009, IJCAI.

A Nonparametric Online Model for Air Quality Prediction

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, F. Ramos, 2015, AAAI.

A Bayesian approach for place recognition

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Suresh Kumar, 2012, Robotics Auton. Syst..

Gaussian Process Occupancy Maps for Dynamic Environments

Fabio Tozeto Ramos, Simon Timothy O'Callaghan, 2014, ISER.

Airborne vision‐based mapping and classification of large farmland environments

Fabio Tozeto Ramos, Salah Sukkarieh, Alistair Reid, 2010, J. Field Robotics.

Online self-supervised learning for dynamic object segmentation

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, F. Ramos, 2015, Int. J. Robotics Res..

A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition

Dieter Fox, Fabio Tozeto Ramos, Bertrand Douillard, 2007, ISRR.

Iterative Continuous Convolution for 3D Template Matching and Global Localization

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, 2018, AAAI.

Bayesian Optimisation for informative continuous path planning

Fabio Tozeto Ramos, Román Marchant, F. Ramos, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Learning highly dynamic environments with stochastic variational inference

Fabio Tozeto Ramos, Ransalu Senanayake, Simon Timothy O'Callaghan, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Building Continuous Occupancy Maps With Moving Robots

Fabio Tozeto Ramos, Ransalu Senanayake, F. Ramos, 2018, AAAI.

Learning to detect loop closure from range data

Karl Granström, Fabio Tozeto Ramos, Juan I. Nieto, 2009, 2009 IEEE International Conference on Robotics and Automation.

Multi-modal estimation with kernel embeddings for learning motion models

Fabio Tozeto Ramos, Simon Timothy O'Callaghan, Lachlan McCalman, 2013, 2013 IEEE International Conference on Robotics and Automation.

Automatic rock recognition from drilling performance data

Sildomar T. Monteiro, Fabio Tozeto Ramos, Eric Nettleton, 2012, 2012 IEEE International Conference on Robotics and Automation.

Stochastic Functional Gradient Path Planning in Occupancy Maps pdf

Fabio Tozeto Ramos, Lionel Ott, Gilad Francis, 2017, ArXiv.

Online learning for scene segmentation with laser-constrained CRFs

Fabio Tozeto Ramos, Lionel Ott, Charika De Alvis, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping

Fabio Tozeto Ramos, Ransalu Senanayake, F. Ramos, 2017, CoRL.

Learning navigational maps by observing human motion patterns

Fabio Tozeto Ramos, Alen Alempijevic, Surya P. N. Singh, 2011, 2011 IEEE International Conference on Robotics and Automation.

Online self-supervised segmentation of dynamic objects

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, F. Ramos, 2013, 2013 IEEE International Conference on Robotics and Automation.

Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic

Sildomar T. Monteiro, Fabio Tozeto Ramos, Peter Hatherly, 2010, IEEE Geoscience and Remote Sensing Letters.

A Natural Feature Representation for Unstructured Environments

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Suresh Kumar, 2008, IEEE Transactions on Robotics.

Urban scene segmentation with laser-constrained CRFs

Fabio Tozeto Ramos, Lionel Ott, Charika De Alvis, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Bayesian Optimisation for Safe Navigation under Localisation Uncertainty pdf

Fabio Tozeto Ramos, Lionel Ott, Vitor Campanholo Guizilini, 2017, ISRR.

Alextrac: Affinity learning by exploring temporal reinforcement within association chains

Fabio Tozeto Ramos, Lionel Ott, Ben Upcroft, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression

Fabio Tozeto Ramos, Ransalu Senanayake, Simon Timothy O'Callaghan, 2016, AAAI.

Bayesian RL for Goal-Only Rewards

Fabio Tozeto Ramos, Philippe Morere, F. Ramos, 2018, CoRL.

Variational Inference for Nonparametric Bayesian Quantile Regression

Fabio Tozeto Ramos, Sachinthaka Abeywardana, F. Ramos, 2015, AAAI.

A spatio-temporal probabilistic model for multi-sensor object recognition

Dieter Fox, Fabio Tozeto Ramos, Bertrand Douillard, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Robust place recognition with stereo cameras

Fabio Tozeto Ramos, Dorian Gálvez-López, Juan D. Tardós, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Stochastic functional gradient for motion planning in continuous occupancy maps

Fabio Tozeto Ramos, Lionel Ott, Gilad Francis, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Gaussian process occupancy maps*

Fabio Tozeto Ramos, Simon Timothy O'Callaghan, F. Ramos, 2012, Int. J. Robotics Res..

Multi-level State Estimation in an Outdoor Decentralised Sensor Network

Alexei Makarenko, Alex Brooks, Hugh F. Durrant-Whyte, 2006, ISER.

Multi-Kernel Gaussian Processes

Fabio Tozeto Ramos, Arman Melkumyan, A. Melkumyan, 2011, IJCAI.

Motion clustering and estimation with conditional random fields

Fabio Tozeto Ramos, Gian Diego Tipaldi, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Recognising, Representing and Mapping Natural Features in Unstructured Environments

Fabio Tozeto Ramos, 2007 .

Sequential Bayesian optimization as a POMDP for environment monitoring with UAVs

Fabio Tozeto Ramos, Philippe Morere, Román Marchant, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Robust multiple-sensing-modality data fusion using Gaussian Process Implicit Surfaces

Marcos P. Gerardo-Castro, Thierry Peynot, Fabio Tozeto Ramos, 2014, 17th International Conference on Information Fusion (FUSION).

Removing scanner biases using Generative Adversarial Networks pdf

Fabio Tozeto Ramos, Harrison Nguyen, Richard W. Morris, 2018, ArXiv.

Multi-class classification of vegetation in natural environments using an Unmanned Aerial system

Fabio Tozeto Ramos, Salah Sukkarieh, Alistair Reid, 2011, 2011 IEEE International Conference on Robotics and Automation.

Visual odometry learning for unmanned aerial vehicles

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, 2011, 2011 IEEE International Conference on Robotics and Automation.

Multi-task Learning of Visual Odometry Estimators

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, F. Ramos, 2010, ISER.

Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network

Fabio Tozeto Ramos, Tiago Carvalho, Guilherme C. S. Ruppert, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Large-scale 3D scene reconstruction with Hilbert Maps

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments

Fabio Tozeto Ramos, Ransalu Senanayake, F. Ramos, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Dense motion segmentation for first-person activity recognition

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, Kai Zhan, 2014, 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV).

Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Juan I. Nieto, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system

Fabio Tozeto Ramos, Marco H. Terra, Vitor Campanholo Guizilini, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Robotics: Science and Systems IV

Oliver Brock, Jeffrey C. Trinkle, Fabio Tozeto Ramos, 2009, AI Mag..

Learning to Navigate by Growing Deep Networks pdf

Fabio Tozeto Ramos, Lionel Ott, Thushan Ganegedara, 2017, ArXiv.

Recognising and Segmenting Objects in Natural Environments

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Suresh Kumar, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Bayesian Joint Inversions for the Exploration of Earth Resources

Fabio Tozeto Ramos, Edwin V. Bonilla, Tim Rawling, 2013, IJCAI.

Multi-scale Conditional Random Fields for first-person activity recognition

Fabio Tozeto Ramos, Kai Zhan, Steven Faux, 2014, 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom).

Online Adaptation of Deep Architectures with Reinforcement Learning pdf

Fabio Tozeto Ramos, Lionel Ott, Thushan Ganegedara, 2016, ECAI.

Gaussian Process modeling of large scale terrain

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Eric Nettleton, 2009, ICRA.

Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, 2017, AAAI.

Multi-sensor clustering using Layered Affinity Propagation

Fabio Tozeto Ramos, Lionel Ott, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models

Peter Dayan, Fabio Tozeto Ramos, Bernard W. Balleine, 2018, bioRxiv.

Bayesian optimisation for Intelligent Environmental Monitoring

Fabio Tozeto Ramos, Román Marchant, F. Ramos, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Inferring laser-scan matching uncertainty with conditional random fields

Hugh F. Durrant-Whyte, Xuchu Mao, Fabio Tozeto Ramos, 2012, Robotics Auton. Syst..

Contextual occupancy maps using Gaussian processes

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Simon Timothy O'Callaghan, 2009, 2009 IEEE International Conference on Robotics and Automation.

Integer Programming Relaxations for Integrated Clustering and Outlier Detection pdf

Fabio Tozeto Ramos, Sanjay Chawla, Lionel Ott, 2014, ArXiv.

Shared environment representation for a human‐robot team performing information fusion

Alexei Makarenko, Fabio Tozeto Ramos, Tobias Kaupp, 2007, J. Field Robotics.

Learning to Associate Image Features with CRF-Matching

Dieter Fox, Fabio Tozeto Ramos, Mohammed Waleed Kadous, 2008, ISER.

Non-parametric consistency test for multiple-sensing-modality data fusion

Marcos P. Gerardo-Castro, Thierry Peynot, Fabio Tozeto Ramos, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Particle Filter Localization on Continuous Occupancy Maps

Fabio Tozeto Ramos, Denis Fernando Wolf, Alberto Yukinobu Hata, 2016, ISER.

Modeling and decision making in spatio-temporal processes for environmental surveillance

Hugh F. Durrant-Whyte, William J. Kaiser, Fabio Tozeto Ramos, 2010, 2010 IEEE International Conference on Robotics and Automation.

Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion pdf

Fabio Tozeto Ramos, Dietmar Müller, Sebastian Haan, 2020, GEOPHYSICS.

Learning Non-Stationary Space-Time Models for Environmental Monitoring pdf

Fabio Tozeto Ramos, Amarjeet Singh, Sahil Garg, 2012, AAAI.

Sequential Bayesian Optimisation for Spatial-Temporal Monitoring

Scott Sanner, Fabio Tozeto Ramos, Román Marchant, 2014, UAI.

Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation

Fabio Tozeto Ramos, Philippe Morere, Román Marchant, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Eric Nettleton, 2011, 2011 IEEE International Conference on Robotics and Automation.

Non-Gaussian State Estimation in an Outdoor Decentralised Sensor Network

Hugh F. Durrant-Whyte, Fabio Tozeto Ramos, Tim Bailey, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds

Richard Nock, Fabio Tozeto Ramos, Kelvin Hsu, 2018, ECML/PKDD.

Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference pdf

Fabio Tozeto Ramos, Louis C. Tiao, Edwin V. Bonilla, 2018, ArXiv.

Transductive Learning for Multi-Task Copula Processes

Markus Schneider, Fabio Tozeto Ramos, F. Ramos, 2014, ECAI.

Unpaired Learning of Dense Visual Depth Estimators for Urban Environments

Fabio Tozeto Ramos, Vitor Campanholo Guizilini, F. Ramos, 2018, CoRL.