149 search results - page 21 / 30 » Semi-supervised nonlinear dimensionality reduction |
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
ISVC
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. We present a framework for combining automated and interactive visual analysis techniques for use on high-resolution biomechanical data. Analyzing the complex 3D motion o...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...