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» Incremental query evaluation for support vector machines
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ICIP
2009
IEEE
14 years 11 months ago
Efficient reduction of support vectors in kernel-based methods
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...
Takumi Kobayashi, Nobuyuki Otsu
BMCBI
2011
14 years 9 months ago
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
Jesse Eickholt, Xin Deng, Jianlin Cheng
DEXA
2006
Springer
151views Database» more  DEXA 2006»
15 years 3 months ago
An Incremental Refining Spatial Join Algorithm for Estimating Query Results in GIS
Geographic information systems (GIS) must support large georeferenced data sets. Due to the size of these data sets finding exact answers to spatial queries can be very time consum...
Wan D. Bae, Shayma Alkobaisi, Scott T. Leutenegger
MDM
2005
Springer
174views Communications» more  MDM 2005»
15 years 7 months ago
GPAC: generic and progressive processing of mobile queries over mobile data
This paper introduces a new family of Generic and Progressive algorithms (GPAC, for short) for continuous mobile queries over mobile objects. GPAC provides a general skeleton that...
Mohamed F. Mokbel, Walid G. Aref
CVPR
2006
IEEE
15 years 5 months ago
Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning
In region-based image annotation, keywords are usually associated with images instead of individual regions in the training data set. This poses a major challenge for any learning...
Changbo Yang, Ming Dong, Jing Hua