3097 search results - page 92 / 620 » Adaptive Manifold Learning |
139
click to vote
CANDC
2009
ACM
16 years 19 days ago
2009
ACM
We present a sub-symbolic computational model for effecting knowledge re-representation and insight. Given a set of data, manifold learning is used to automatically organize the d...
175
click to vote
AAAI
2008
15 years 8 months ago
2008
The recent years have witnessed a surge of interests in semi-supervised learning methods. A common strategy for these algorithms is to require that the predicted data labels shoul...
164
click to vote
ICML
2010
IEEE
15 years 6 months ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
148
click to vote
ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
159
click to vote
ICALT
2006
IEEE
16 years 5 days ago
2006
IEEE
The application of software engineering approaches to generate learning material adapted to a specific instructional purpose presents some issues: of different models, different a...