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BMCBI
2011
13 years 11 days ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
INTELLCOMM
2004
Springer
14 years 2 months ago
About the Heterogeneity of Web Prefetching Performance Key Metrics
Web prefetching techniques have pointed to be especially important to reduce web latencies and, consequently, an important set of works can be found in the open literature. But, in...
Josep Domènech, Julio Sahuquillo, Jos&eacut...
ICCV
2009
IEEE
15 years 1 months ago
Is that you? Metric Learning Approaches for Face Identification
Face identification is the problem of determining whether two face images depict the same person or not. This is difficult due to variations in scale, pose, lighting, background...
Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmi...
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
14 years 6 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano
COMPSAC
2006
IEEE
14 years 2 months ago
An Agent-Based Metric for Quality of Services over Wireless Networks
In a wireless LAN environment, clients tend to associate with the nearest access point (AP) which usually provides the strongest signal. However, this does not guarantee that user...
Yaw-Chung Chen, Wen-Yen Chen