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» Local Smoothing for Manifold Learning
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ICPR
2008
IEEE
14 years 8 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy
TIP
2010
182views more  TIP 2010»
13 years 2 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
36
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CVPR
2009
IEEE
15 years 2 months ago
Locally Time-Invariant models of Human Activities using Trajectories on the Grassmanian
Human activity analysis is an important problem in computer vision with applications in surveillance and summarization and indexing of consumer content. Complex human activities...
Pavan Turaga, Rama Chellappa
CVPR
2007
IEEE
14 years 9 months ago
Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds
In this paper, we propose a novel learning-based method for image hallucination, with image super-resolution being a specific application that we focus on here. Given a low-resolu...
Wei Fan, Dit-Yan Yeung
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 6 months ago
Visual path following on a manifold in unstructured three-dimensional terrain
— This paper describes the design and testing of a technique to enable long-range autonomous navigation using a stereo camera as the only sensor. During a learning phase, the rov...
Paul Timothy Furgale, Timothy D. Barfoot