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» Fast Line-Based Imaging of Small Sample Features
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ISVC
2007
Springer
15 years 3 months ago
Tensor Lines in Tensor Fields of Arbitrary Order
This paper presents a method to reduce time complexity of the computation of higher–order tensor lines. The method can be applied to higher–order tensors and the spherical harm...
Mario Hlawitschka, Gerik Scheuermann, Alfred Anwan...
CVPR
2012
IEEE
13 years 5 days ago
KNN matting
We are interested in a general alpha matting approach for the simultaneous extraction of multiple image layers; each layer may have disjoint segments for material matting not limi...
Qifeng Chen, Dingzeyu Li, Chi-Keung Tang
KDD
2004
ACM
131views Data Mining» more  KDD 2004»
15 years 10 months ago
Fast nonlinear regression via eigenimages applied to galactic morphology
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
Brigham Anderson, Andrew W. Moore, Andrew Connolly...
CVPR
2003
IEEE
15 years 11 months ago
An Efficient Approach to Learning Inhomogeneous Gibbs Model
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
Ziqiang Liu, Hong Chen, Heung-Yeung Shum
BMVC
2010
14 years 7 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi