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» A Sequence Kernel and its Application to Speaker Recognition
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ICML
2005
IEEE
15 years 10 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...
74
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ICML
2006
IEEE
15 years 10 months ago
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
Alex Graves, Faustino J. Gomez, Jürgen Schmid...
FSMNLP
2008
Springer
14 years 11 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri
RIAO
2000
14 years 11 months ago
Classification of Radiographs in the 'Image Retrieval in Medical Applications' - System
In this paper we present a new approach to classifying radiographs, which is the first important task of the IRMA system. Given an image, we compute posterior probabilities for ea...
Jörg Dahmen, Thomas Theiner, Daniel Keysers, ...