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A Curated and Re-annotated Peripheral Blood Cell Dataset Integrating Four Public Resources. [PDF]

Sci Data
Gan L, Li X, Wang X.
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A Machine Learning-Based Approach to Cross-Application of Computer Vision and Visual Communication Design for Automatic Labelling and Classification

Shiqian Xiang, Runze Gan
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Aǂmachine learning-based approach to cross-application of computer vision and visual communication design for automatic labelling and classification

Shiqian Xiang, Runze Gan
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Automatic labeling of prosodic patterns

IEEE Transactions on Speech and Audio Processing, 1994
This paper describes a general algorithm for labeling prosodic patterns in speech, which provides a mechanism for mapping sequences of observations (vectors of acoustic correlates) to prosodic labels using decision trees and a Markov sequence model. Important and novel features of the approach are that it allows many dissimilar correlates to be treated
Colin W. Wightman, Mari Ostendorf
exaly   +2 more sources

Automatic Labeling for Scene Text Database

2013 12th International Conference on Document Analysis and Recognition, 2013
It is thought that a large quantity of data improve quality of recognition. A large database, however, is not easy to obtain. The hardest task is labeling (also known as ground truthing), which usually requires human intervention. Since labeling by human is laborious and costly, labeling without human (automatic labeling) or minimization of human ...
Masakazu Iwamura, Koichi Kise
exaly   +2 more sources

Automatic Labeling of Topics

2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009
An algorithm for the automatic labeling of topics accordingly to a hierarchy is presented. Its main ingredients are a set of similarity measures and a set of topic labeling rules. The labeling rules are specifically designed to find the most agreed labels between the given topic and the hierarchy.
STELLA, FABIO ANTONIO, CIUCCI, DAVIDE ELIO, CALEGARI, SILVIA, MAGATTI, DAVIDE   +3 more
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Automatic labeling of speech

ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
To evaluate the performance of a speech recognition system, large databases of labeled speech, including various speakers, noise conditions, and vocabularies, are necessary. This paper describes a method for automatically labeling speech data. In the past, speech has been labeled manually, typically by listening to and viewing waveforms through real ...
James C. Spohrer, Peter F. Brown, Robert Roth   +2 more
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Experiments on automatic prosodic labeling

Interspeech 2009, 2009
This paper presents results from experiments on automatic prosodic labeling. Using the WEKA machine learning software [1], classifiers were trained to determine for each syllable in a speech database of a male speaker its pitch accent and its boundary tone.
Antje Schweitzer, Bernd Möbius
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