Sciweavers

199 search results - page 7 / 40
» A Method for Selecting the Bin Size of a Time Histogram
Sort
View
BMCBI
2010
150views more  BMCBI 2010»
13 years 5 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...
ICDE
2007
IEEE
124views Database» more  ICDE 2007»
14 years 9 months ago
The Haar+ Tree: A Refined Synopsis Data Structure
We introduce the Haar+ tree: a refined, wavelet-inspired data structure for synopsis construction. The advantages of this structure are twofold: First, it achieves higher synopsis...
Panagiotis Karras, Nikos Mamoulis
BMCBI
2002
188views more  BMCBI 2002»
13 years 7 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
ICIAP
2007
ACM
14 years 7 months ago
An information theoretic rule for sample size adaptation in particle filtering
To become robust, a tracking algorithm must be able to support uncertainty and ambiguity often inherently present in the data in form of occlusion and clutter. This comes usually ...
Oswald Lanz
CVPR
2010
IEEE
14 years 3 months ago
Fast and Robust Object Segmentation with the Integral Linear Classifier
We propose an efficient method, built on the popular Bag of Features approach, that obtains robust multiclass pixellevel object segmentation of an image in less than 500ms, with...
David Aldavert, Arnau Ramisa, Ricardo Toledo, Ramo...