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» Comparisons between Human and Computer Recognition of Faces
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CVPR
2009
IEEE
17 years 1 months ago
Learning Mappings for Face Synthesis from Near Infrared to Visual Light Images
This paper deals with a new problem in face recognition research, in which the enrollment and query face samples are captured under different lighting conditions. In our case, t...
Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan ...
AAAI
2000
15 years 7 months ago
Self-Organization of Innate Face Preferences: Could Genetics Be Expressed through Learning?
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
James A. Bednar, Risto Miikkulainen
HCI
2009
15 years 4 months ago
A Comparison of Artifact Reduction Methods for Real-Time Analysis of fNIRS Data
Due to its convenient, low physical restraint, and electric noise tolerant features, functional near-infrared spectroscopy (fNIRS) is expected to be a useful tool in monitoring use...
Takayuki Nozawa, Toshiyuki Kondo
CVPR
2007
IEEE
16 years 8 months ago
Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation
The estimation of head pose angle from face images is an integral component of face recognition systems, human computer interfaces and other human-centered computing applications....
Vineeth Nallure Balasubramanian, Jieping Ye, Sethu...
IJON
2002
72views more  IJON 2002»
15 years 5 months ago
Modeling large cortical networks with growing self-organizing maps
Self-organizing computational models with specific intracortical connections can explain many features of visual cortex. However, due to their computation and memory requirements,...
James A. Bednar, Amol Kelkar, Risto Miikkulainen