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» Using Random Forests for Handwritten Digit Recognition
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81
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MM
2004
ACM
174views Multimedia» more  MM 2004»
15 years 3 months ago
Speech, ink, and slides: the interaction of content channels
In this paper, we report on an empirical exploration of digital ink and speech usage in lecture presentation. We studied the video archives of five Master’s level Computer Scien...
Richard J. Anderson, Crystal Hoyer, Craig Prince, ...
IV
2000
IEEE
94views Visualization» more  IV 2000»
15 years 2 months ago
Character Recognition of Arabic and Latin Scripts
The goal to produce effective Optical Character Recognition (OCR) methods has lead to the development of a number of algorithms. The purpose of these is to take the hand-written o...
Fiaz Hussain, John Cowell
MCS
2004
Springer
15 years 3 months ago
A Comparison of Ensemble Creation Techniques
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
101
Voted
BMCBI
2005
157views more  BMCBI 2005»
14 years 9 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...
ICCV
2001
IEEE
15 years 11 months ago
Separating Appearance from Deformation
By representing images and image prototypes by linear subspaces spanned by "tangent vectors" (derivatives of an image with respect to translation, rotation, etc.), impre...
Nebojsa Jojic, Patrice Simard, Brendan J. Frey, Da...