Papers
Analyzing human feature learning as nonparametric Bayesian inference
Thomas L. Griffiths, Joseph L. Austerweil
Designing neurophysiology experiments to optimally constrain receptive field models along parametric submanifolds
Jeremy Lewi, Robert Butera, David M. Schneider et al.
Grouping Contours Via a Related Image
Praveen Srinivasan, Liming Wang, Jianbo Shi
Local Gaussian Process Regression for Real Time Online Model Learning
Duy Nguyen-tuong, Jan R. Peters, Matthias Seeger
Learning Bounded Treewidth Bayesian Networks
Gal Elidan, Stephen Gould
Translated Learning: Transfer Learning across Different Feature Spaces
Wenyuan Dai, Yuqiang Chen, Gui-rong Xue et al.
Near-minimax recursive density estimation on the binary hypercube
Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett et al.
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Doucet et al.
Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning
Erion Plaku, Lydia Kavraki, and Moshe Vardi
Dynamic Coverage Verification in Mobile Sensor Networks Via Switched Higher Order Laplacians
Abubakr Muhammad and Ali Jadbabaie
Mapping Large Loops with a Single Hand-Held Camera
Laura A. Clemente, Andrew Davison, Ian Reid et al.
An experimental study of exploiting multipath fading for robot communications
Magnus Lindhé, Karl Henrik Johansson, and Antonio Bicchi
Data Association in O(n) for Divide and Conquer SLAM
Lina María Paz, José Guivant, Juan D. Tardós et al.
Planning and Control of Meso-scale Manipulation Tasks with Uncertainties
Peng Cheng, David Cappelleri, Bogdan Gavrea et al.
A Fast and Practical Algorithm for Generalized Penetration Depth Computation
Liangjun Zhang, Young J. Kim, and Dinesh Manocha
Learning omnidirectional path following using dimensionality reduction
J. Zico Kolter and Andrew Ng
Motion Strategies for Surveillance
Sourabh Bhattacharya, Salvatore Candido, and Seth Hutchinson
A Fundamental Tradeoff between Performance and Sensitivity within Haptic Rendering
Paul Griffiths, Brent Gillespie, and Jim Freudenberg
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
Ron Alterovitz, Thierry Simeon, and Ken Goldberg
Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning
Anelia Angelova, Larry Matthies, Daniel Helmick et al.
Safety Evaluation of Physical Human-Robot Interaction via Crash-Testing
Sami Haddadin, Alin Albu-Schäffer, and Gerd Hirzinger
Control of Many Agents Using Few Instructions
Timothy Bretl
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
Fabio Ramos, Dieter Fox, and Hugh Durrant-Whyte
Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains
Katsu Yamane and Yoshihiko Nakamura
Synthesis of Constrained nR Planar Robots to Reach Five Task Positions
Gim Song Soh and J. Michael McCarthy