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DAGM
2006
Springer
15 years 10 months ago
Handling Camera Movement Constraints in Reinforcement Learning Based Active Object Recognition
In real world scenes, objects to be classified are usually not visible from every direction, since they are almost always positioned on some kind of opaque plane. When moving a cam...
Christian Derichs, Heinrich Niemann
NIPS
2000
15 years 8 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
TITS
2010
118views Education» more  TITS 2010»
15 years 1 months ago
Vision-Based Infotainment User Determination by Hand Recognition for Driver Assistance
We present a novel real-time computer-vision system that robustly discriminates which of the front-row seat occupants is accessing the infotainment controls. The knowledge of who i...
Shinko Y. Cheng, Mohan M. Trivedi
ICASSP
2011
IEEE
14 years 10 months ago
BEMD for expression transformation in face recognition
This work presents a novel methodology for the transformation of facial expressions, to assist face biometrics. It is known that identification using only one image per subject p...
Hoda Mohammadzade, Foteini Agrafioti, Jiexin Gao, ...
ICCV
2011
IEEE
14 years 6 months ago
Human Action Recognition by Learning Bases of Action Attributes and Parts
In this work, we propose to use attributes and parts for recognizing human actions in still images. We define action attributes as the verbs that describe the properties of human...
Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy La...