Wei Yi

Labeled Multi-object Tracking Algorithms for Generic Observation Model

2016 · arXiv (Cornell University)

In this paper, we are devoted to the labeled multiobject tracking problem for generic observation model (GOM) in the framework of Finite set statistics. Firstly, we derive a product-labeled multi-object (P-LMO) filter following by the …

An approximate optimal chernoff fusion method via importance sampling

2017

This paper focuses on addressing the decentralized data fusion (DDF) problem in dynamic sensor networks based on Chernoff rule. Generally, the Chernoff rule is challenging to implement since the fused probability density functions (pdfs) that …

A fast implementation of distributed fusion with CPHD filter

2017

The paper addresses a fast implementation algorithm about distributed fusion with CPHD filter. An implementation method of distributed fusion based on maximum probability association (MPA), called MPA-DF, is presented. Though the performance of MPA-DF is …

Computationally Efficient Distributed Multi-Sensor Multi-Bernoulli Filter

2018

This paper proposes a computationally efficient distributed fusion algorithm with multi-Bernoulli (MB) random finite sets (RFSs) based on generalized Covariance Intersection (GCI). The GCI fusion with MB filter (GCI-MB) involves the computation of the generalized …

Multi-object Tracking for Generic Observation Model Using Labeled Random Finite Sets

2016 · arXiv (Cornell University)

This paper presents an exact Bayesian filtering solution for the multi-object tracking problem with the generic observation model. The proposed solution is designed in the labeled random finite set framework, using the product styled representation …

Data‐driven XGBoost‐based filter for target tracking

2019 · The Journal of Engineering

In recent years, the data‐driven approach has been introduced in the field of target tracking as a powerful tool developing the end‐to‐end mapping relationship between input features and outputs. Typically, in data‐driven methods, neural networks …

Quantum image classifier with single photons

2020 · arXiv (Cornell University)

Machine learning, with promising applications in quantum computation, has been introduced to a variety of quantum mechanical platforms, where its interplay with quantum physics offers exciting prospects toward quantum advantages. A central difficulty, however, lies …

The GMPHD Filter for Swarm Target Tracking Based on Gamma Gaussian Processes

2024

The swarm target involves numerous individuals with close proximity and uniform sizes, rendering their situation challenging to discern. Swarm target tracking (STT) aims to simultaneously estimate their shape, center state, cardinality (i.e., the number of …

Bimodal Modelling of Source Code and Natural Language

2015 · Edinburgh Research Explorer (University of Edinburgh)

We consider the problem of building probabilistic models that jointly model short natural language utterances and source code snippets. The aim is to bring together recent work on statistical modelling of source code and work …