753 search results - page 101 / 151 » Independent component analysis: algorithms and applications |
ICPR
2006
IEEE
14 years 10 months ago
2006
IEEE
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
CORR
2011
Springer
13 years 17 days ago
2011
Springer
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...
PODS
2006
ACM
14 years 9 months ago
2006
ACM
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
ISCAS
2003
IEEE
14 years 2 months ago
2003
IEEE
We propose an algorithm based on singular value decomposition (SVD) to reduce the number of process variation variables. With few process variation variables, fault simulation and...
BMCBI
2006
13 years 8 months ago
2006
Background: Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or &qu...