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ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
16 years 4 hour ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
ICDE
2000
IEEE
189views Database» more  ICDE 2000»
16 years 8 months ago
Image Database Retrieval with Multiple-Instance Learning Techniques
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
Cheng Yang, Tomás Lozano-Pérez
CVPR
2007
IEEE
16 years 8 months ago
Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
Song Mao, Praveer Mansukhani, George R. Thoma
CGO
2007
IEEE
16 years 1 months ago
Rapidly Selecting Good Compiler Optimizations using Performance Counters
Applying the right compiler optimizations to a particular program can have a significant impact on program performance. Due to the non-linear interaction of compiler optimization...
John Cavazos, Grigori Fursin, Felix V. Agakov, Edw...
PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
16 years 6 days ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...