Search Results for "dmitry"

OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources. ...

C++ implementation of high-performance associative neural networks models based on pseudo-inverse learning rule, also known as projection rule or attractor-based rule

...For later ROS versions, see https://github.com/WPI-ARC/lightning_ros This approach uses a path library to store previous experience while allowing generality by also planning from scratch. Please see the paper below for more details: A Robot Path Planning Framework that Learns from Experience Dmitry Berenson, Pieter Abbeel, and Ken Goldberg IEEE International Conference on Robotics and Automation (ICRA), May, 2012. This package uses OMPL planners (http://ompl.kavrakilab.org/) to implement each component in lightning and can be called the same way as any other OMPL planner. The code was developed at UC Berkeley by Cameron Lee and Dmitry Berenson under the supervision of Prof. ...

This is a revival of the old DMitry (Deepmagic Information Gathering Tool) Linux tool. Original upstream appears to be dead so I've decided to to continue the work. Attribution for versions <= 1.3a: James Greig James@mor-pah.net