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» Gait-Based Recognition of Humans Using Continuous HMMs
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DIMEA
2008
137views Multimedia» more  DIMEA 2008»
14 years 11 months ago
Biometric tendency recognition and classification system: an artistic approach
The Biometric Tendency Recognition and Classification System is a software application that continuously measures a participant's physiological responses to a given image and...
Carlos Castellanos, Philippe Pasquier, Luther Thie...
DAS
2006
Springer
15 years 1 months ago
A Semi-automatic Adaptive OCR for Digital Libraries
This paper presents a novel approach for designing a semi-automatic adaptive OCR for large document image collections in digital libraries. We describe an interactive system for co...
Sachin Rawat, K. S. Sesh Kumar, Million Meshesha, ...
ICASSP
2008
IEEE
15 years 4 months ago
Unsupervised learning of auditory filter banks using non-negative matrix factorisation
Non-negative matrix factorisation (NMF) is an unsupervised learning technique that decomposes a non-negative data matrix into a product of two lower rank non-negative matrices. Th...
Alexander Bertrand, Kris Demuynck, Veronique Stout...
BVAI
2007
Springer
15 years 4 months ago
Incremental Subspace Learning for Cognitive Visual Processes
In real life, visual learning is supposed to be a continuous process. Humans have an innate facility to recognize objects even under less-than-ideal conditions and to build robust ...
Bogdan Raducanu, Jordi Vitrià
FGR
2004
IEEE
136views Biometrics» more  FGR 2004»
15 years 1 months ago
Advances in Automatic Gait Recognition
Automatic recognition by gait is subject to increasing interest and has the unique capability to recognize people at a distance when other biometrics are obscured. Its interest is...
Mark S. Nixon, John N. Carter