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» A Genetic Algorithm for Clustering on Very Large Data Sets
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NIPS
2004
13 years 9 months ago
Parallel Support Vector Machines: The Cascade SVM
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
Hans Peter Graf, Eric Cosatto, Léon Bottou,...
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
VISUALIZATION
2000
IEEE
13 years 12 months ago
Isosurfacing in higher dimensions
Visualization algorithms have seen substantial improvements in the past several years. However, very few algorithms have been developed for directly studying data in dimensions hi...
Praveen Bhaniramka, Rephael Wenger, Roger Crawfis
BMCBI
2004
158views more  BMCBI 2004»
13 years 7 months ago
Improvement of alignment accuracy utilizing sequentially conserved motifs
Background: Multiple sequence alignment algorithms are very important tools in molecular biology today. Accurate alignment of proteins is central to several areas such as homology...
Saikat Chakrabarti, Nitin Bhardwaj, Prem A. Anand,...
CIKM
2011
Springer
12 years 7 months ago
LogSig: generating system events from raw textual logs
Modern computing systems generate large amounts of log data. System administrators or domain experts utilize the log data to understand and optimize system behaviors. Most system ...
Liang Tang, Tao Li, Chang-Shing Perng