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» A Neural Model of Human Object Recognition Development
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DSS
2006
118views more  DSS 2006»
13 years 7 months ago
Part family formation through fuzzy ART2 neural network
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks' recognition, the present study is dedicated in developing a n...
R. J. Kuo, Y. T. Su, C. Y. Chiu, Kai-Ying Chen, Fa...
AVBPA
2003
Springer
160views Biometrics» more  AVBPA 2003»
14 years 26 days ago
Automatic Gait Recognition via Fourier Descriptors of Deformable Objects
We describe a new method for Automatic Gait Recognition based around the use of Fourier descriptors that model the periodic deformation of human gait. Fourier descriptors have been...
Stuart D. Mowbray, Mark S. Nixon
ICPR
2008
IEEE
14 years 8 months ago
Neural net vector quantizers for discrete HMM-based on-line handwritten whiteboard-note recognition
In this work we evaluate a recently published vector quantization scheme, which has been developed to handle binary features like the pressure feature occurring in on-line handwri...
Gerhard Rigoll, Joachim Schenk
CHI
2010
ACM
14 years 2 months ago
iCanDraw: using sketch recognition and corrective feedback to assist a user in drawing human faces
When asked to draw, many people are hesitant because they consider themselves unable to draw well. This paper describes the first system for a computer to provide direction and fe...
Daniel Dixon, Manoj Prasad, Tracy Hammond
CVPR
2003
IEEE
14 years 9 months ago
Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA
In this paper we explore object recognition in clutter. We test our object recognition techniques on Gimpy and EZGimpy, examples of visual CAPTCHAs. A CAPTCHA ("Completely Au...
Greg Mori, Jitendra Malik