Reproducing kernel Hilbert space

Hilbert Space Embeddings of Hidden Markov Models

Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alex Smola

Citations: 177 • 2018

Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization

Jiayi Ma, Jia Wu, Ji Zhao, Junjun Jiang, Huabing Zhou, Quan Z. Sheng

Citations: 148 • 2018

Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent

Fábio Ramos, Lionel Ott

Citations: 134 • 2016

Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent

Fábio Ramos, Lionel Ott

Citations: 114 • 2015

A Kernel Adaptive Algorithm for Quaternion-Valued Inputs

Thomas Paul, Tokunbo Ogunfunmi

Citations: 50 • 2015

Learning the Inverse Dynamics of Robotic Manipulators in Structured Reproducing Kernel Hilbert Space

Ching-An Cheng, Han‐Pang Huang, Huan-Kun Hsu, Wei-Zh Lai, Chih-Chun Cheng

Citations: 27 • 2015

Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation

Fahira Afzal Maken, Fábio Ramos, Lionel Ott

Citations: 26 • 2022

A Data-Efficient Geometrically Inspired Polynomial Kernel for Robot Inverse Dynamic

Citations: 22 • 2019

Appearance-Based Loop Closure Detection via Locality-Driven Accurate Motion Field Learning

Kaining Zhang, Xingyu Jiang, Jiayi Ma

Citations: 22 • 2021

Initialization matters: Orthogonal Predictive State Recurrent Neural Networks

Krzysztof Choromański, Carlton Downey, Byron Boots

Citations: 18 • 2018

Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces

Zita Marinho, Byron Boots, Anca D. Dragan, Geoffrey J. Gordon, Siddhartha S Srinivasa

Citations: 17 • 2016

Learn the Lagrangian: A Vector-Valued RKHS Approach to Identifying Lagrangian Systems

Ching-An Cheng, Han‐Pang Huang

Citations: 17 • 2015

Learning Policies for Markov Decision Processes From Data

Manjesh K. Hanawal, Hao Liu, Henghui Zhu, Ioannis Ch. Paschalidis

Citations: 17 • 2018

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

Ransalu Senanayake, Lionel Ott, Simon O’Callaghan, Fábio Ramos

Citations: 17 • 2016

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

Philippe Morere, Román Marchant, Fábio Ramos

Citations: 17 • 2018

Variational Hilbert regression for terrain modeling and trajectory optimization

Vitor Guizilini, Fábio Ramos

Citations: 16 • 2019

The kernel Kalman rule

Gregor H. W. Gebhardt, Andras Kupcsik, Gerhard Neumann

Citations: 15 • 2019

Policy search in reproducing kernel Hilbert space

Ngo Anh Vien, Péter Englert, Marc Toussaint

Citations: 14 • 2016

Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition

Somayeh Danafar, Arthur Gretton, Jürgen Schmidhuber

Citations: 13 • 2010

Monte Carlo Filtering Using Kernel Embedding of Distributions

Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, Kenji Fukumizu

Citations: 12 • 2014