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» Optimizing Data Transformations for Classification Tasks
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
13 years 5 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
EDBT
2002
ACM
132views Database» more  EDBT 2002»
14 years 7 months ago
A Framework for the Physical Design Problem for Data Synopses
Maintaining statistics on multidimensional data distributions is crucial for predicting the run-time and result size of queries and data analysis tasks with acceptable accuracy. To...
Arnd Christian König, Gerhard Weikum
ACCV
2006
Springer
13 years 9 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
ICCV
2003
IEEE
14 years 9 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
SC
2003
ACM
14 years 18 days ago
A Compiler Analysis of Interprocedural Data Communication
This paper presents a compiler analysis for data communication for the purpose of transforming ordinary programs into ones that run on distributed systems. Such transformations ha...
Yonghua Ding, Zhiyuan Li