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Parameter Optimization and Learning in a Spiking Neural Network for UAV
  Obstacle Avoidance targeting Neuromorphic Processors

Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors

17 October 2019
Llewyn Salt
David Howard
Giacomo Indiveri
Yulia Sandamirskaya
ArXivPDFHTML

Papers citing "Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance targeting Neuromorphic Processors"

9 / 9 papers shown
Title
A scalable multi-core architecture with heterogeneous memory structures
  for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
S. Moradi
Ning Qiao
F. Stefanini
Giacomo Indiveri
60
479
0
14 Aug 2017
On Self-Adaptive Mutation Restarts for Evolutionary Robotics with Real
  Rotorcraft
On Self-Adaptive Mutation Restarts for Evolutionary Robotics with Real Rotorcraft
G. Howard
22
4
0
31 Mar 2017
Rank Pooling for Action Recognition
Rank Pooling for Action Recognition
Basura Fernando
E. Gavves
José Oramas
Amir Ghodrati
Tinne Tuytelaars
48
299
0
06 Dec 2015
Aggregating Deep Convolutional Features for Image Retrieval
Aggregating Deep Convolutional Features for Image Retrieval
Artem Babenko
Victor Lempitsky
FAtt
64
692
0
26 Oct 2015
The Treasure beneath Convolutional Layers: Cross-convolutional-layer
  Pooling for Image Classification
The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
42
193
0
27 Nov 2014
Evolution of Plastic Learning in Spiking Networks via Memristive
  Connections
Evolution of Plastic Learning in Spiking Networks via Memristive Connections
G. Howard
E. Gale
Larry Bull
B. D. L. Costello
Andrew Adamatzky
45
76
0
14 Dec 2012
Practical Bayesian Optimization of Machine Learning Algorithms
Practical Bayesian Optimization of Machine Learning Algorithms
Jasper Snoek
Hugo Larochelle
Ryan P. Adams
302
7,883
0
13 Jun 2012
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with
  Application to Active User Modeling and Hierarchical Reinforcement Learning
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
E. Brochu
Vlad M. Cora
Nando de Freitas
GP
116
2,437
0
12 Dec 2010
Gaussian Process Optimization in the Bandit Setting: No Regret and
  Experimental Design
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Niranjan Srinivas
Andreas Krause
Sham Kakade
Matthias Seeger
139
1,616
0
21 Dec 2009
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