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CHI
2010
ACM
14 years 22 days ago
Estimating residual error rate in recognized handwritten documents using artificial error injection
Both handwriting recognition systems and their users are error prone. Handwriting recognizers make recognition errors, and users may miss those errors when verifying output. As a ...
Edward Lank, Ryan Stedman, Michael Terry
ICIP
2000
IEEE
14 years 9 months ago
Optimal Design of Transform Coders and Quantizers for Image Classification
In a variety of applications (including automatic target recognition) image classification algorithms operate on compressed image data. This paper explores the design of optimal t...
Soumya Jana, Pierre Moulin
GCC
2006
Springer
13 years 11 months ago
GPFlow: An Intuitive Environment for Web Based Scientific Workflow
Increasingly scientists are using collections of software tools in their research. These tools are typically used in concert, often necessitating laborious and error prone manual ...
Asbjørn Rygg, Paul Roe, On Wong
ML
2006
ACM
110views Machine Learning» more  ML 2006»
13 years 7 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
PAMI
2007
113views more  PAMI 2007»
13 years 7 months ago
Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields
—We formalize the notion of style context, which accounts for the increased accuracy of the field classifiers reported in this journal recently. We argue that style context forms...
Sriharsha Veeramachaneni, George Nagy