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IJCAI
2003
14 years 10 months ago
Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks
We present a coherent framework for data clustering. Starting with a Hopfield network, we show the solutions for several well-motivated clustering objective functions are principa...
Chris H. Q. Ding
GLOBECOM
2006
IEEE
15 years 3 months ago
Cluster-Based MIMO Channel Model Parameters Extracted from Indoor Time-Variant Measurements
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention....
Nicolai Czink, Ernst Bonek, Lassi Hentila, Jukka-P...
EUROMICRO
1998
IEEE
15 years 1 months ago
Image Compression Using the Wavelet Transform on Textural Regions of Interest
This paper suggests a new image compression scheme, using the discrete wavelet transformation (DWT), which is based on attempting to preserve the texturally important image charac...
Dimitris A. Karras, S. A. Karkanis, Basil G. Mertz...
GIS
2008
ACM
14 years 10 months ago
Sparse terrain pyramids
Bintrees based on longest edge bisection and hierarchies of diamonds are popular multiresolution techniques on regularly sampled terrain datasets. In this work, we consider sparse...
Kenneth Weiss, Leila De Floriani
ICML
2007
IEEE
15 years 10 months ago
A dependence maximization view of clustering
We propose a family of clustering algorithms based on the maximization of dependence between the input variables and their cluster labels, as expressed by the Hilbert-Schmidt Inde...
Le Song, Alexander J. Smola, Arthur Gretton, Karst...