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ICPR
2008
IEEE
15 years 10 months ago
Kernel Bisecting k-means clustering for SVM training sample reduction
This paper presents a new algorithm named Kernel Bisecting k-means and Sample Removal (KBK-SR) as a sampling preprocessing for SVM training to improve the scalability. The novel c...
Xiao-Zhang Liu, Guo-Can Feng
ISBI
2008
IEEE
16 years 5 months ago
Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging
The cortical folding patterns are very different from one individual to another. Here we try to find folding patterns automatically using large-scale datasets by non-supervised cl...
Zhong Yi Sun, Denis Rivière, Edouard Duches...
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 9 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
ICDE
2012
IEEE
224views Database» more  ICDE 2012»
13 years 6 months ago
Exploiting Common Subexpressions for Cloud Query Processing
—Many companies now routinely run massive data analysis jobs – expressed in some scripting language – on large clusters of low-end servers. Many analysis scripts are complex ...
Yasin N. Silva, Paul-Ake Larson, Jingren Zhou
ICIAP
1999
ACM
15 years 8 months ago
Background Removal in Image Indexing and Retrieval
This paper presents our research in image content based indexing and retrieval, a key technology in digital image libraries. In most of the existing image content-based techniques...
Yi Lu, Hong Guo