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» A Kernel Method for the Two-Sample Problem
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ECCV
2010
Springer
15 years 7 months ago
Analysis of Motion Blur With a Flutter Shutter Camera for Non-Linear Motion
Motion blurs confound many computer vision problems. The fluttered shutter (FS) camera [1] tackles the motion deblurring problem by emulating invertible broadband blur kernels. How...
Yuanyuan Ding, Scott McCloskey, Jingyi Yu
BMCBI
2008
102views more  BMCBI 2008»
15 years 2 months ago
Significance analysis of microarray for relative quantitation of LC/MS data in proteomics
Background: Although fold change is a commonly used criterion in quantitative proteomics for differentiating regulated proteins, it does not provide an estimation of false positiv...
Bryan A. P. Roxas, Qingbo Li
ICASSP
2011
IEEE
14 years 6 months ago
Adaptive N-normalization for enhancing music similarity
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. Howev...
Mathieu Lagrange, George Tzanetakis
SP
1999
IEEE
194views Security Privacy» more  SP 1999»
15 years 6 months ago
Detecting Intrusions using System Calls: Alternative Data Models
Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. In this paper we study one such observable-seq...
Christina Warrender, Stephanie Forrest, Barak A. P...
CVPR
2012
IEEE
13 years 4 months ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez