99 search results - page 12 / 20 » Generalization of the Kantorovich Method of Dimensional Redu... |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
ICIP
2007
IEEE
15 years 11 months ago
2007
IEEE
Image segmentation with shape priors has received a lot of attention over the past years. Most existing work focuses on a linearized shape space with small deformation modes aroun...
NIPS
2004
14 years 11 months ago
2004
We present a semi-parametric latent variable model based technique for density modelling, dimensionality reduction and visualization. Unlike previous methods, we estimate the late...
SIGMOD
2011
ACM
14 years 9 days ago
2011
ACM
Multimedia similarity search has been playing a critical role in many novel applications. Typically, multimedia objects are described by high-dimensional feature vectors (or point...