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BMCBI
2010
153views more  BMCBI 2010»
14 years 12 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
WWW
2005
ACM
16 years 15 days ago
Hierarchical substring caching for efficient content distribution to low-bandwidth clients
While overall bandwidth in the internet has grown rapidly over the last few years, and an increasing number of clients enjoy broadband connectivity, many others still access the i...
Utku Irmak, Torsten Suel
IJRR
2007
236views more  IJRR 2007»
14 years 11 months ago
Towards High-resolution Imaging from Underwater Vehicles
Large area mapping at high resolution underwater continues to be constrained by sensor-level environmental constraints and the mismatch between available navigation and sensor acc...
Hanumant Singh, Christopher N. Roman, Oscar Pizarr...

Book
778views
16 years 10 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
CVPR
2005
IEEE
16 years 1 months ago
A Projector-Camera System with Real-Time Photometric Adaptation for Dynamic Environments
Projection systems can be used to implement augmented reality, as well as to create both displays and interfaces on ordinary surfaces. Ordinary surfaces have varying reflectance, ...
Kensaku Fujii, Michael D. Grossberg, Shree K. Naya...