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» Computing the Dimension of Linear Subspaces
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ICPR
2008
IEEE
14 years 4 months ago
Online anomal movement detection based on unsupervised incremental learning
We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...
Kyoko Sudo, Tatsuya Osawa, Hidenori Tanaka, Hideki...
EMMCVPR
1999
Springer
14 years 2 months ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
DCC
2010
IEEE
13 years 10 months ago
The maximum size of a partial 3-spread in a finite vector space over GF(2)
Let n 3 be an integer, let Vn(2) denote the vector space of dimension n over GF(2), and let c be the least residue of n modulo 3. We prove that the maximum number of 3-dimensional...
Saad El-Zanati, H. Jordon, G. F. Seelinger, Papa S...
SIGMOD
2006
ACM
102views Database» more  SIGMOD 2006»
14 years 10 months ago
DADA: a data cube for dominant relationship analysis
The concept of dominance has recently attracted much interest in the context of skyline computation. Given an Ndimensional data set S, a point p is said to dominate q if p is bett...
Cuiping Li, Beng Chin Ooi, Anthony K. H. Tung, Sha...
CVPR
2009
IEEE
15 years 5 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...