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» Guessing the extreme values in a data set: a Bayesian method...
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ICIP
2000
IEEE
14 years 7 months ago
Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications
We present an estimation-theoretic approach to curve evolution for the Mumford-Shah problem. By viewing an active contour as the set of discontinuities in the Mumford-Shah problem...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
BMCBI
2006
211views more  BMCBI 2006»
13 years 6 months ago
Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
JIDM
2010
145views more  JIDM 2010»
13 years 4 months ago
Mining Relevant and Extreme Patterns on Climate Time Series with CLIPSMiner
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of na...
Luciana A. S. Romani, Ana Maria Heuminski de &Aacu...
ICDM
2007
IEEE
183views Data Mining» more  ICDM 2007»
14 years 11 days ago
Depth-Based Novelty Detection and Its Application to Taxonomic Research
It is estimated that less than 10 percent of the world’s species have been described, yet species are being lost daily due to human destruction of natural habitats. The job of d...
Yixin Chen, Henry L. Bart Jr., Xin Dang, Hanxiang ...
3DPVT
2006
IEEE
224views Visualization» more  3DPVT 2006»
14 years 3 days ago
A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data
Building footprints have been shown to be extremely useful in urban planning, infrastructure development, and roof modeling. Current methods for creating these footprints are ofte...
Oliver Wang, Suresh K. Lodha, David P. Helmbold