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CSDA
2006
82views more  CSDA 2006»
14 years 12 months ago
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
Ito Wasito, Boris Mirkin
BMCBI
2008
121views more  BMCBI 2008»
14 years 12 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
DOCENG
2005
ACM
15 years 1 months ago
Structuring documents according to their table of contents
In this paper, we present a method for structuring a document according to the information present in its Table of Contents. The detection of the ToC as well as the determination ...
Hervé Déjean, Jean-Luc Meunier
NAACL
2007
15 years 1 months ago
Unsupervised Natural Language Processing Using Graph Models
In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
Chris Biemann