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GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 4 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
CASES
2006
ACM
15 years 4 months ago
Reaching fast code faster: using modeling for efficient software thread integration on a VLIW DSP
When integrating software threads together to boost performance on a processor with instruction-level parallel processing support, it is rarely clear which code regions should be ...
Won So, Alexander G. Dean
PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
15 years 4 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
98
Voted
ECCV
2010
Springer
15 years 4 months ago
Recursive Coarse-to-Fine Localization for fast Object Detection
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdan...
98
Voted
DAGSTUHL
2007
15 years 2 months ago
How Fast can be Algebraic Attacks on Block Ciphers?
In this paper we give a specification of a new block cipher that can be called the Courtois Toy Cipher (CTC). It is quite simple, and yet very much like any other known block ciph...
Nicolas Courtois