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» Japanese Word Segmentation by Hidden Markov Model
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CVPR
2012
IEEE
13 years 2 months ago
View invariant human action recognition using histograms of 3D joints
In this paper, we present a novel approach for human action recognition with histograms of 3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D sk...
Lu Xia, Chia-Chih Chen, J. K. Aggarwal
SIAMIS
2010
378views more  SIAMIS 2010»
14 years 6 months ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
ICDAR
2007
IEEE
15 years 6 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
TASLP
2002
124views more  TASLP 2002»
14 years 11 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng
INFORMATICALT
2007
106views more  INFORMATICALT 2007»
14 years 11 months ago
Framework for Choosing a Set of Syllables and Phonemes for Lithuanian Speech Recognition
This paper describes a framework for making up a set of syllables and phonemes that subsequently is used in the creation of acoustic models for continuous speech recognition of Lit...
Sigita Laurinciukaite, Antanas Lipeika