INTERSPEECH
2010
13 years 7 months ago
2010
One successful approach to language recognition is to focus on the most discriminative high level features of languages, such as phones and words. In this paper, we applied a simi...
TAL
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
CIARP
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
EVOW
2006
Springer
14 years 4 months ago
2006
Springer
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
DEXAW
2007
IEEE
14 years 4 months ago
2007
IEEE
Peers and data objects in the Hybrid Overlay Network (HON) are organized in a ndimensional feature space. As the dimensionality increases, peers and data objects become sparse and ...
WEBI
2005
Springer
14 years 6 months ago
2005
Springer
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
PAKDD
2005
ACM
14 years 6 months ago
2005
ACM
The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
IWANN
2005
Springer
14 years 6 months ago
2005
Springer
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
ISMDA
2005
Springer
14 years 6 months ago
2005
Springer
The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper tec...
ICDM
2006
IEEE
14 years 6 months ago
2006
IEEE
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...