29 search results - page 2 / 6 » Maximal Accurate Forests from Distance Matrices |
JSAC
2006
13 years 5 months ago
2006
The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. S...
AAAI
2010
13 years 2 months ago
2010
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
TMC
2010
13 years 4 months ago
2010
—Location and intersensor distance estimations are important functions for the operation of wireless sensor networks, especially when protocols can benefit from the distance info...
IMC
2004
ACM
13 years 11 months ago
2004
ACM
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major problems: (1) It only optimizes th...