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» Informative sampling for large unbalanced data sets
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114
Voted
BMCBI
2005
122views more  BMCBI 2005»
15 years 3 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
132
Voted
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Multi-Modal Video Concept Extraction Using Co-Training
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. A major obstacle to this is the insufficiency o...
Rong Yan, Milind R. Naphade
160
Voted
BMCBI
2004
205views more  BMCBI 2004»
15 years 3 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
174
Voted
PERCOM
2006
ACM
16 years 3 months ago
CAPS: Energy-Efficient Processing of Continuous Aggregate Queries in Sensor Networks
In this paper, we design and evaluate an energy efficient data retrieval architecture for continuous aggregate queries in wireless sensor networks. We show how the modification of...
Wen Hu, Archan Misra, Rajeev Shorey
EMMCVPR
2007
Springer
15 years 9 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann