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fusion-research's Projects

joint-representation-learning-for-top-n-recommendation

An implementation of the Joint Representation Learning Model (JRL) for product recommendation based on heterogeneous information sources

jpdaf_tracking

A tracker based on joint probabilistic data association filtering.

kaggle-competition-favorita

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

kaggle_taxi_trajectory

Kaggle EMCL/PKDD 15: Taxi Trajectory and Trip Time

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman-filtering

2D trajectory estimation using Kalman filtering. The vehicle is supposed to be equipped with two accelerometers (one in each coordinate) and one gyroscope ; we also dispose of a radar telling the vehicle's position at discrete time intervals. The different cases of the measuring devices being biased are contemplated. The extended Kalman filtering and the optimum implementation (based on the Cholesky QR factorization) are also implemented.

kalman-rnn

Efforts to emulate the dynamics of Kalman filtering on 9-axis IMU data from an Android device with a recurrent neural network.

kalman_filter_multi_object_tracking

Multiple object tracking using Kalman Filter and Hungarian Algorithm - OpenCV

kalman_filter_witi_kitti

Applying extended Kalman filter to KITTI GPS/IMU data for vehicle localization

kalmann

Extended Kalman filter for training neural-networks

kernel_dimension_reduction_clustering

Kernel Dimension Reduction clustering via HSIC

kernelgcn

Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs

kernelmethods

Foundational library for Kernel methods in pattern analysis and machine learning

kerpy

python code for kernel methods

kfsmcdc2015

KFSM CDC 2015

khmregressionclustering

Python version of - https://ieeexplore.ieee.org/document/1250952

kidnapped-vehicle-project

Vehicle localization

kidnapped-vehicle-project-1

Localization with Particle Filters - Udacity SDCND Term 2, Project 3

kmbox

Kernel Methods Toolbox for Matlab/Octave

kmeans-movie-ratings

Clustering of Movie Ratings using KMeans Algorithm

knowledge-graph-tutorials-and-papers

Insightful Tutorials and Papers about Knowledge Graphs

knowledge-net

KnowledgeNet: A Benchmark Dataset for Knowledge Base Population

kronos-incident

VAST 2014 Mini Challenge

l2f

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

ladcf

Matlab implementation of TIP2019 paper "Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking"

laika

Simple Python GNSS processing library

lcbench

A learning curve benchmark on OpenML data

lcssalgorithm

This project enables to study the problem of finding similarity between trajectories (trajectory similarity problem) which is a known problem in the field of Data Mining. The algorithm called to deploy and solves the above problem is the LCSS(Longest Common Subsequence). Each orbit is described by a sequence geographical points (latidute, longitude). Each record dataset that we are given represents a path of a taxi that has taken place in the city of Beijing. Each line of the file contains the following separated by commas: taxi id, timestamp, latitude, longitude.

ldpl-based-trilateration

This repository contains a Log-distance Path Loss model-based trilateration (least square sense) method for radiolocation system.

fusion-research Goto Github PK

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