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ICDAR
2007
IEEE
16 years 14 days ago
Quantile Linear Algorithm for Robust Binarization of Digitalized Letters
We describe a threshold-based local algorithm for image binarization. The main idea is to compute a transition energy using pixel value differences taken from a neighborhood aroun...
M. Ramírez, Ernesto Tapia, Marco Block, Ra&...
JIPS
2006
72views more  JIPS 2006»
15 years 6 months ago
A Feature Selection Technique based on Distributional Differences
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
Sung-Dong Kim
BMCBI
2008
85views more  BMCBI 2008»
15 years 6 months ago
Merging microarray data from separate breast cancer studies provides a robust prognostic test
Background: There is an urgent need for new prognostic markers of breast cancer metastases to ensure that newly diagnosed patients receive appropriate therapy. Recent studies have...
Lei Xu, Aik Choon Tan, Raimond L. Winslow, Donald ...
VLSID
2003
IEEE
145views VLSI» more  VLSID 2003»
16 years 6 months ago
Immediate Neighbor Difference IDDQ Test (INDIT) for Outlier Identification
Increasing values and spread in leakage current makes it impossible to distinguish between faulty and fault-free chips using single threshold method. Neighboring chips on a wafer ...
Sagar S. Sabade, D. M. H. Walker
KBSE
2008
IEEE
16 years 17 days ago
Program Analysis with Dynamic Precision Adjustment
We present and evaluate a framework and tool for combining multiple program analyses which allows the dynamic (on-line) adjustment of the precision of each analysis depending on t...
Dirk Beyer, Thomas A. Henzinger, Grégory Th...