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ICPR
2002
IEEE
15 years 11 months ago
A Large Scale Clustering Scheme for Kernel K-Means
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
Rong Zhang, Alexander I. Rudnicky
IJCNN
2000
IEEE
15 years 11 months ago
A SOM Based Cluster Visualization and Its Application for False Coloring
The self-organizing map SOM is widely used as a data visualization method in various engineering applications. It performs a non-linear mapping from a high-dimensional data spac...
Johan Himberg
ASSETS
2000
ACM
15 years 11 months ago
A framework of assistive pointers for low vision users
Manipulating a mouse pointer is often difficult for the low vision computer user. Working with such a small, mobile screen object is very visually demanding. Although several tech...
Julie Fraser, Carl Gutwin
SIGGRAPH
1989
ACM
15 years 10 months ago
Ray tracing deterministic 3-D fractals
As shown in 1982, Julia sets of quadratic functions as well as many other deterministic fractals exist in spaces of higher dimensionality than the complex plane. Originally a boun...
John C. Hart, Daniel J. Sandin, Louis H. Kauffman
AAAI
2010
15 years 8 months ago
Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
Georgios Theocharous, Sridhar Mahadevan