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» Minimization and Partitioning Method Reducing Input Sets
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ICIC
2005
Springer
15 years 7 months ago
Methods of Decreasing the Number of Support Vectors via k-Mean Clustering
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-...
ISCAS
2003
IEEE
83views Hardware» more  ISCAS 2003»
15 years 6 months ago
An Integrated Framework of Design Optimization and Space Minimization for DSP applications
This paper presents an Integrated Framework of Design Optimization and Space Minimization (IDOM) for generating the minimum number of functional units with schedule length and mem...
Qingfeng Zhuge, Edwin Hsing-Mean Sha, Chantana Cha...
MICCAI
2006
Springer
15 years 7 months ago
Simultaneous Stereoscope Localization and Soft-Tissue Mapping for Minimal Invasive Surgery
Minimally Invasive Surgery (MIS) has recognized benefits of reduced patient trauma and recovery time. In practice, MIS procedures present a number of challenges due to the loss of ...
Peter Mountney, Danail Stoyanov, Andrew Davison, G...
ICDE
2007
IEEE
174views Database» more  ICDE 2007»
15 years 7 months ago
Adapting Partitioned Continuous Query Processing in Distributed Systems
Partitioned query processing is an effective method to process continuous queries with large stateful operators in a distributed systems. This method typically partitions input da...
Yali Zhu, Elke A. Rundensteiner
ICPR
2008
IEEE
16 years 2 months ago
Texture classification with minimal training images
The objective of this work is classifying texture from a single image under unknown lighting conditions. The current and successful approach to this task is to treat it as a stati...
Alireza Tavakoli Targhi, Jan-Mark Geusebroek, Andr...