1376 search results - page 142 / 276 » The Localization Hypothesis and Machines |
102
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Ranking nodes in graphs is of much recent interest. Edges, via the graph Laplacian, are used to encourage local smoothness of node scores in SVM-like formulations with generalizat...
103
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
113
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We present a new unsupervised algorithm for training structured predictors that is discriminative, convex, and avoids the use of EM. The idea is to formulate an unsupervised versi...
124
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We present a unified duality view of several recently emerged spectral methods for nonlinear dimensionality reduction, including Isomap, locally linear embedding, Laplacian eigenm...
100
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
When monitoring spatial phenomena, which are often modeled as Gaussian Processes (GPs), choosing sensor locations is a fundamental task. A common strategy is to place sensors at t...