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» Context-Aided Human Recognition - Clustering
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NIPS
2004
13 years 9 months ago
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
Machine learning is often used to automatically solve human tasks. In this paper, we look for tasks where machine learning algorithms are not as good as humans with the hope of ga...
Kumar Chellapilla, Patrice Y. Simard
CVPR
2011
IEEE
13 years 3 months ago
Recognizing Human Actions by Attributes
In this paper we explore the idea of using high-level semantic concepts, also called attributes, to represent human actions from videos and argue that attributes enable the constr...
Jingen Liu
ACL
1998
13 years 9 months ago
Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue
Miscommunication in speech recognition systems is unavoidable, but a detailed characterization of user corrections will enable speech systems to identify when a correction is taki...
Gina-Anne Levow
CSL
2007
Springer
13 years 7 months ago
'Early recognition' of polysyllabic words in continuous speech
Humans are able to recognise a word before its acoustic realisation is complete. This in contrast to conventional automatic speech recognition (ASR) systems, which compute the lik...
Odette Scharenborg, Louis ten Bosch, Lou Boves
FGR
1998
IEEE
165views Biometrics» more  FGR 1998»
13 years 12 months ago
Face Similarity Space as Perceived by Humans and Artificial Systems
The performance of a local feature based system, using Gabor-filters, and a global template matching based system, using a combination of PCA (Principal Component Analysis) and LD...
Peter Kalocsai, Wenyi Zhao, Egor Elagin