ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper, a new method for evaluating the quality of clustering of genes is proposed based on mutual information criterion. Instead of using the conventional histogram-based ...
TNN
2011
13 years 6 months ago
2011
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
TCOM
2010
13 years 6 months ago
2010
In this paper, two semi-analytical performance prediction methods are proposed and compared for multiuser MIMO transmission over block-fading multipath channels and iterative MMSE...
JMLR
2010
13 years 6 months ago
2010
A number of feature selection mechanisms have been explored in text categorization, among which mutual information, information gain and chi-square are considered most effective. ...
JMLR
2010
13 years 6 months ago
2010
The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
JCIT
2010
13 years 6 months ago
2010
This paper presents a method of using mutual information to improve the recognition algorithm of unknown Chinese words, it can resolve the complexity of weight settings and the in...
TIT
2011
13 years 6 months ago
2011
— The focus of this paper is on spatial precoding in correlated multi-antenna channels where the number of datastreams is adapted independent of the number of transmit antennas. ...
CORR
2011
Springer
13 years 6 months ago
2011
Springer
Let X be a non-negative random variable and let the conditional distribution of a random variable Y , given X, be Poisson(γ · X), for a parameter γ ≥ 0. We identify a natural...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Differential privacy is a notion of privacy that has become very popular in the database community. Roughly, the idea is that a randomized query mechanism provides sufficient priva...
ICTAI
2009
IEEE
13 years 9 months ago
2009
IEEE
The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...