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» Learning Mid-Level Features For Recognition
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GLOBECOM
2009
IEEE
14 years 2 months ago
Movement Recognition Using Body Area Networks
—Significant research has been done on recognizing the daily activities using acceleration data but few works have focused on classifying the movements comprising an activity du...
John Paul Varkey, Dario Pompili
MLMI
2005
Springer
14 years 1 months ago
Automatic Speech Recognition and Speech Activity Detection in the CHIL Smart Room
Abstract. An important step to bring speech technologies into wide deployment as a functional component in man-machine interfaces is to free the users from close-talk or desktop mi...
Stephen M. Chu, Etienne Marcheret, Gerasimos Potam...
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
15 years 2 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...
ICIAP
2005
ACM
14 years 7 months ago
Interactive, Mobile, Distributed Pattern Recognition
As the accuracy of conventional classifiers, based only on a static partitioning of feature space, appears to be approaching a limit, it may be useful to consider alternative appro...
George Nagy
IBPRIA
2007
Springer
14 years 1 months ago
Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles. In this paper we introduce the boosting of blurre...
Alicia Fornés, Sergio Escalera, Josep Llad&...