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» Using Random Forests for Handwritten Digit Recognition
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ICDAR
2003
IEEE
15 years 3 months ago
A Majority Voting Scheme for Multiresolution Recognition of Handprinted Numerals
This paper proposes a simple voting scheme for off-line recognition of handprinted numerals. One of the main features of the proposed scheme is that this is not script dependent. ...
Ujjwal Bhattacharya, B. B. Chaudhuri
CIKM
2008
Springer
14 years 11 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
ATAL
2007
Springer
15 years 3 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
76
Voted
ICDAR
2003
IEEE
15 years 3 months ago
Confidence Evaluation for Combining Diverse Classifiers
For combining classifiers at measurement level, the diverse outputs of classifiers should be transformed to uniform measures that represent the confidence of decision, hopefully, ...
Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako
88
Voted
ICML
2008
IEEE
15 years 10 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach