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JDCTA
2010
104views more  JDCTA 2010»
14 years 4 months ago
Mean Shifts Identification Model in Bivariate Process Based on LS-SVM Pattern Recognizer
This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
Zhi-Qiang Cheng, Yi-Zhong Ma, Jing Bu
CVPR
2010
IEEE
15 years 5 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
CODES
2005
IEEE
15 years 3 months ago
Key research problems in NoC design: a holistic perspective
Networks-on-Chip (NoCs) have been recently proposed as a promising solution to complex on-chip communication problems. The lack of an unified representation of applications and ar...
Ümit Y. Ogras, Jingcao Hu, Radu Marculescu
83
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ECCV
2010
Springer
14 years 9 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
SIGCOMM
2012
ACM
12 years 12 months ago
Reduction-based analysis of BGP systems with BGPVerif
Today’s inter-domain routing protocol, the Border Gateway Protocol (BGP), is increasingly complicated and fragile due to policy misconfiguration by individual autonomous system...
Anduo Wang, Alexander J. T. Gurney, Xianglong Han,...