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» Variations on U-Shaped Learning
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PERCOM
2005
ACM
16 years 12 days ago
Adaptive Temporal Radio Maps for Indoor Location Estimation
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
Jie Yin, Qiang Yang, Lionel M. Ni
114
Voted
FGR
2008
IEEE
288views Biometrics» more  FGR 2008»
15 years 7 months ago
Face recognition with temporal invariance: A 3D aging model
The variation caused by aging has not received adequate attention compared with pose, lighting, and expression variations. Aging is a complex process that affects both the 3D shap...
Unsang Park, Yiying Tong, Anil K. Jain
120
Voted
FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
15 years 7 months ago
Regularized active shape model for shape alignment
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li
ICASSP
2011
IEEE
14 years 4 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
118
Voted
ACCV
2009
Springer
15 years 4 months ago
Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
Xiangyang Liu, Hongtao Lu, Daqiang Zhang