123 search results - page 20 / 25 » Nonrigid Embeddings for Dimensionality Reduction |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
ICIP
2007
IEEE
14 years 25 days ago
2007
IEEE
The major problem in building a good lipreading system is to extract effective visual features from enormous quantity of video sequences data. For appearance-based feature analysi...
NIPS
2007
13 years 10 months ago
2007
Maximum variance unfolding (MVU) is an effective heuristic for dimensionality reduction. It produces a low-dimensional representation of the data by maximizing the variance of the...
NIPS
2004
13 years 10 months ago
2004
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
ICPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject’s face acr...