MMM
2012
Springer
11 years 12 months ago
2012
Springer
Abstract. Can we discover audio-visually consistent events from videos in a totally unsupervised manner? And, how to mine videos with different genres? In this paper we present our...
AAAI
2011
12 years 4 months ago
2011
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
IGPL
2011
12 years 11 months ago
2011
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
The discovery and construction of inherent regions in large spatial datasets is an important task for many research domains such as climate zoning, eco-region analysis, public heal...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
BMCBI
2004
13 years 4 months ago
2004
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
SIAMSC
2008
13 years 4 months ago
2008
Coding of data, usually upstream of data analysis, has crucial implications for the data analysis results. By modifying the data coding
PR
2006
13 years 4 months ago
2006
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...