A survey on hyperdimensional computing aka vector symbolic architectures, part ii: Applications, cognitive models, and challenges
This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
Multivariate time series analysis for driving style classification using neural networks and hyperdimensional computing
In this paper, we present a novel approach for driving style classification based on time
series data. Instead of automatically learning the embedding vector for temporal …
series data. Instead of automatically learning the embedding vector for temporal …
An investigation of vehicle behavior prediction using a vector power representation to encode spatial positions of multiple objects and neural networks
Predicting future behavior and positions of other traffic participants from observations is a
key problem that needs to be solved by human drivers and automated vehicles alike to …
key problem that needs to be solved by human drivers and automated vehicles alike to …
Analyzing the capacity of distributed vector representations to encode spatial information
Vector Symbolic Architectures belong to a family of related cognitive modeling approaches
that encode symbols and structures in high-dimensional vectors. Similar to human subjects …
that encode symbols and structures in high-dimensional vectors. Similar to human subjects …
[PDF][PDF] Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions.
Predicting future vehicle behaviour is an essential task to enable safe and situation-aware
automated driving. In this paper, we propose to encapsulate spatial information of multiple …
automated driving. In this paper, we propose to encapsulate spatial information of multiple …
Classifying information using spiking neural network
C Grassmann - US Patent App. 16/725,598, 2020 - Google Patents
A semiconductor device is provided. The semiconductor device may comprise a circuit
configured to generate information. The semiconductor device may comprise a monitoring …
configured to generate information. The semiconductor device may comprise a monitoring …
[图书][B] New Advances at the Intersection of Brain-Inspired Learning and Deep Learning in Autonomous Vehicles and Robotics
Page 1 NEW ADVANCES AT THE INTERSECTION OF BRAIN-INSPIRED LEARNING AND
DEEP LEARNING IN AUTONOMOUS VEHICLES AND ROBOTICS EDITED BY: Guang Chen …
DEEP LEARNING IN AUTONOMOUS VEHICLES AND ROBOTICS EDITED BY: Guang Chen …