356 search results - page 15 / 72 » Solving the Small Sample Size Problem of LDA |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...
STACS
2007
Springer
14 years 1 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
MANSCI
2008
13 years 7 months ago
2008
We study an iterative cutting-plane algorithm on an integer program, for minimizing the staffing costs of a multiskill call center subject to service-level requirements which are e...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
Random sampling is one of the most fundamental data management tools available. However, most current research involving sampling considers the problem of how to use a sample, and...
CVPR
2010
IEEE
14 years 3 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...