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CASCON
2006
150views Education» more  CASCON 2006»
15 years 6 months ago
Exploring a new space of features for document classification: figure clustering
Automatic document classification is an important step in organizing and mining documents. Information in documents is often conveyed using both text and images that complement ea...
Nawei Chen, Hagit Shatkay, Dorothea Blostein
ADBIS
2006
Springer
166views Database» more  ADBIS 2006»
15 years 11 months ago
Clustering-Based Materialized View Selection in Data Warehouses
materialized view selection is a non-trivial task. Hence, its complexity must be reduced. A judicious choice of views must be costdriven and influenced by the workload experienced...
Kamel Aouiche, Pierre-Emmanuel Jouve, Jér&o...
BMCBI
2004
208views more  BMCBI 2004»
15 years 4 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
PCM
2007
Springer
134views Multimedia» more  PCM 2007»
15 years 11 months ago
The Photo News Flusher: A Photo-News Clustering Browser
We propose a novel news browsing system that can cluster photo news articles based on both textual features of articles and image features of news photos for a personal news databa...
Tatsuya Iyota, Keiji Yanai
ICPR
2004
IEEE
16 years 6 months ago
A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Select
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
Yiu-ming Cheung