502 search results - page 8 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
BMCBI
2010
13 years 7 months ago
2010
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
APVIS
2008
13 years 9 months ago
2008
Facial emotions and expressive facial motions have become an intrinsic part of many graphics systems and human computer interaction applications. The dynamics and high dimensional...
ICMLA
2008
13 years 9 months ago
2008
In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...