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DCC
2009
IEEE
16 years 4 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
16 years 4 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li
RECOMB
2005
Springer
16 years 4 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
SIGMOD
2006
ACM
138views Database» more  SIGMOD 2006»
16 years 4 months ago
Context-sensitive ranking
The original PageRank algorithm for improving the ranking of search-query results computes a single vector, using the link structure of the Web, to capture the relative "impor...
Rakesh Agrawal, Ralf Rantzau, Evimaria Terzi
ICPPW
2008
IEEE
15 years 10 months ago
Non-Contiguous I/O Support for Object-Based Storage
The access patterns performed by disk-intensive applications vary widely, from simple contiguous reads or writes through an entire file to completely unpredictable random access....
Dennis Dalessandro, Ananth Devulapalli, Pete Wycko...