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» Sensitivity Analysis of the Result in Binary Decision Trees
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CVPR
2011
IEEE
13 years 4 months ago
Iterative Quantization: A Procrustean Approach to Learning Binary Codes
This paper addresses the problem of learning similaritypreserving binary codes for efficient retrieval in large-scale image collections. We propose a simple and efficient altern...
Yunchao Gong, Svetlana Lazebnik
BMCBI
2005
157views more  BMCBI 2005»
13 years 7 months ago
Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a Case-Control Study of Esophageal Cancer; a novel method
Background: Systematic evaluation and study of single nucleotide polymorphisms (SNPs) made possible by high throughput genotyping technologies and bioinformatics promises to provi...
Qian Xie, Luke D. Ratnasinghe, Huixiao Hong, Roger...
DIAGRAMS
2008
Springer
13 years 9 months ago
Visualizing Non-subordination and Multidominance in Tree Diagrams: Testing Five Syntax Tree Variants
In linguistics, it is quite common to use tree diagrams for immediate constituent analysis of sentences. Traditionally, these trees are binary and twodimensional. However, phenomen...
Leonie Bosveld-de Smet, Mark de Vries
CORR
2007
Springer
108views Education» more  CORR 2007»
13 years 7 months ago
Error Probability Analysis of Peaky Signaling over Fading Channels
Abstract— In this paper, the performance of signaling strategies with high peak-to-average power ratio is analyzed in both coherent and noncoherent fading channels Two recently p...
Mustafa Cenk Gursoy
ICPR
2006
IEEE
14 years 8 months ago
ECOC-ONE: A Novel Coding and Decoding Strategy
Error correcting output codes (ECOC) represent a classification technique that allows a successful extension of binary classifiers to address the multiclass problem. In this paper...
Oriol Pujol, Sergio Escalera