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» Large-scale manifold learning
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PR
2007
88views more  PR 2007»
13 years 5 months ago
Robust kernel Isomap
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
Heeyoul Choi, Seungjin Choi
JMLR
2010
110views more  JMLR 2010»
13 years 4 months ago
Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization
Nonlinear dimensionality reduction methods are often used to visualize high-dimensional data, although the existing methods have been designed for other related tasks such as mani...
Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Hele...
AMDO
2010
Springer
13 years 4 months ago
Multiple-Activity Human Body Tracking in Unconstrained Environments
We propose a method for human full-body pose tracking from measurements of wearable inertial sensors. Since the data provided by such sensors is sparse, noisy and often ambiguous, ...
Loren Arthur Schwarz, Diana Mateus, Nassir Navab
ICCV
2009
IEEE
13 years 4 months ago
A study on automatic age estimation using a large database
In this paper we study some problems related to human age estimation using a large database. First, we study the influence of gender on age estimation based on face representation...
Guodong Guo, Guowang Mu, Yun Fu, Charles R. Dyer, ...
ICCV
2011
IEEE
12 years 6 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa