Research

Personal

View

Research Notes of Kristof Van Laerhoven. Last update: Wednesday, 25 August 2004 13:08:40 +0100

These are all short notes that I wrote down to access them easier later on, their quality varies substantially - the only thing they have in common is that they cover various aspects of my research. The newest ones can be found here.

Basic stuff

• Basic Statistics and Metrics for Sensor Analysis
• Mapping/Projection Algorithms (PCA, Sammon, CCA, CDA,...)
• Voronoi diagrams and Delaunay triangulation
• Overview on Clustering and Topology Preserving Mapping algorithms
• VUMF: Various Useful Matlab Functions
• Overview of Statistical ML Clustering Algorithm Measures

Machine Learning, Clustering and Classification Methods

• Recurrent neural networks: Elman, Jordan, and RSOM (sorry, in flemish!)(1999)
• Back-Propagating Artificial Neural Network for Binary Operators (source in C++) (1998)
• Network Routing using Q-learning: An overview (intro course on Q-routing) (1999)
• Minimum Distance Classifiers
• Some matlab tests for classification using multivariate gaussians
• AdaBoost (Adaptive Boosting) and MixtBoost (Boosting Mixture Models)
• Recognizing Patterns in Time Series Data with Hidden Markov Models (forward, Viterbi, Baum-Welsh, ...)
• The Self-Organizing Map and variants
• A Parallel implementation of the Self-Organizing Map (sourcecode in C++ ,using PVM)
• Bayesian Framework for classification of sensor data
• The Kalman filter
• K Nearest Neighbours and variants (sourcecode in Java) (1998)
• Multivariate Gaussians and ML estimation
• Scalability in multi-sensor-based clustering and classification (sourcecode in Matlab) (2002)
• Expectation Maximization Notes from p126 of Duda and Hart, Pattern Classification.
• Estimating which side is up for a six-sided die (Matlab run-through) (2003)
• Atomic gesture recognition on acceleration traces (Matlab) (2003)

Classic AI, expert systems

• Comparison between CLIPS and JESS (1999)

Hardware, PIC programming, iPAQ, Sensorboards

• Reading the Crossbow ADXL202EB-232 on a Linux platform (sourcecode in C & matlab)
• iPAQ related material
• Augmenting the iPAQ with Sensorboards (sourcecode in C++) [as presented at ISWC 2001]
• Using Python to build quick GUIs (for labelling sensor data on the iPAQ) (sourcecode in Python)
• The TEA2 board guide for programmers: Layout, datasheets and PIC C code. (2000)
• Developing a PCB (again - for programmers)
• Using the PICO DrDAQ data logger for a distributed sensing environment (with C++ and Matlab sourcecode)
• A thirty(30!)-accelerometer pic-based sensor reading module (with schematics, C-code, ...)
• The watch module [as described at AIMS2002]
• The 'Spine' and the 'Porcupine' building info
• NEW: Porcupines! building notes

Robotics

• The Wallball Robot (1997)
• Deadreckoning techniques for the Robocube (1999)

Last updated by Kristof Van Laerhoven, 25/08/2004 13:08:40 +0100