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145
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ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 9 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
105
Voted
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
15 years 9 months ago
Integrating Features from Different Sources for Music Information Retrieval
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Tao Li, Mitsunori Ogihara, Shenghuo Zhu
130
Voted
ICDM
2005
IEEE
133views Data Mining» more  ICDM 2005»
15 years 9 months ago
Summarization - Compressing Data into an Informative Representation
In this paper, we formulate the problem of summarization of a dataset of transactions with categorical attributes as an optimization problem involving two objective functions - co...
Varun Chandola, Vipin Kumar
CIE
2010
Springer
15 years 8 months ago
Spatial Models for Virtual Networks
This paper discusses the use of spatial graph models for the analysis of networks that do not have a direct spatial reality, such as web graphs, on-line social networks, or citatio...
Jeannette Janssen
121
Voted
GFKL
2007
Springer
137views Data Mining» more  GFKL 2007»
15 years 7 months ago
Families of Dendrograms
A conceptual framework for cluster analysis from the viewpoint of p-adic geometry is introduced by describing the space of all dendrograms for n datapoints and relating it to the m...
Patrick Erik Bradley