117 search results - page 4 / 24 » Manifold Based Local Classifiers: Linear and Nonlinear Appro... |
PAKDD
2005
ACM
13 years 11 months ago
2005
ACM
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
ACCV
2010
Springer
13 years 20 days ago
2010
Springer
Abstract. In set-based face recognition, each set of face images is often represented as a linear/nonlinear manifold and the Principal Angles (PA) or Kernel PAs are exploited to me...
ICPR
2002
IEEE
14 years 6 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...
MICCAI
2010
Springer
13 years 4 months ago
2010
Springer
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
NIPS
2003
13 years 7 months ago
2003
We propose a non-linear Canonical Correlation Analysis (CCA) method which works by coordinating or aligning mixtures of linear models. In the same way that CCA extends the idea of...