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Found 8 papers, 2 papers with code
Advancing Mixture Models for Least Squares Optimization
Gaussian mixtures are a powerful and widely used tool to model non-Gaussian estimation problems.
Robotics
A comparison of Vector Symbolic Architectures
The available implementations differ in the underlying vector space and the particular implementations of the VSA operators.
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments
This paper discusses this practically very important problem of in-sequence condition changes and defines a hierarchy of problem setups from (1) no in-sequence changes, (2) discrete in-sequence changes, to (3) continuous in-sequence changes.
Factor Graph based 3D Multi-Object Tracking in Point Clouds
Despite its simplicity, the proposed algorithm achieves robust and reliable tracking results and can be applied for offline as well as online tracking.
Graph-based non-linear least squares optimization for visual place recognition in changing environments
In this paper, we propose a graph-based framework to systematically exploit different types of additional structure and information.
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition
In this paper, we propose a novel fast sequence-based method for efficient place recognition that can be applied online.
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
We argue that the internal high-dimensional representation of MiniROCKET is well suited to be complemented by the algebra of HDC.
Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline
This paper proposes a runtime and data-efficient hierarchical VPR pipeline that extends existing approaches and presents novel ideas.
