5092 search results - page 631 / 1019 » Clustering the Feature Space |
185
Voted
ICML
2010
IEEE
15 years 8 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...
227
Voted
SIAMSC
2008
15 years 6 months ago
2008
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
193
Voted
TCS
2008
15 years 6 months ago
2008
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
228
Voted
CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
304
Voted
VIS
2004
IEEE
16 years 8 months ago
2004
IEEE
We present a novel surface reconstruction algorithm that can recover high-quality surfaces from noisy and defective data sets without any normal or orientation information. A set ...