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BMCBI
2004
208views more  BMCBI 2004»
13 years 10 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
ICML
2004
IEEE
14 years 11 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ICPADS
2006
IEEE
14 years 4 months ago
Oriented Overlays For Clustering Client Requests To Data-Centric Network Services
Many of the data-centric network services deployed today hold massive volumes of data at their origin websites, and access the data to dynamically generate responses to user reque...
Congchun He, Vijay Karamcheti
ACSAC
2008
IEEE
14 years 8 days ago
Behavior-Profile Clustering for False Alert Reduction in Anomaly Detection Sensors
Anomaly Detection (AD) sensors compute behavior profiles to recognize malicious or anomalous activities. The behavior of a host is checked continuously by the AD sensor and an ale...
Vanessa Frías-Martínez, Salvatore J....
BMCBI
2007
207views more  BMCBI 2007»
13 years 10 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...