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PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 8 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
CSREAESA
2010
13 years 8 months ago
An Approach for Efficient Real Time Moving Object Detection
Moving object detection is essential for real-time surveillance; however, it is challenging to support moving object detection in a timely fashion due to the compute-intensive natu...
Arnab Roy, Sanket Shinde, Kyoung-Don Kang
EMNLP
2009
13 years 7 months ago
Polynomial to Linear: Efficient Classification with Conjunctive Features
This paper proposes a method that speeds up a classifier trained with many conjunctive features: combinations of (primitive) features. The key idea is to precompute as partial res...
Naoki Yoshinaga, Masaru Kitsuregawa
ICDE
2012
IEEE
228views Database» more  ICDE 2012»
12 years 12 days ago
MXQuery with Hardware Acceleration
—We demonstrate MXQuery/H, a modified version of MXQuery that uses hardware acceleration to speed up XML processing. The main goal of this demonstration is to give an interactiv...
Peter M. Fischer, Jens Teubner
ICPR
2006
IEEE
14 years 11 months ago
Metric tree partitioning and Taylor approximation for fast support vector classification
This paper presents a method to speed up support vector classification, especially important when data is highdimensional. Unlike previous approaches which focus on less support v...
Thang V. Pham, Arnold W. M. Smeulders