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» A Closed Form Solution to Natural Image Matting
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ICCV
2007
IEEE
15 years 11 months ago
Limits of Learning-Based Superresolution Algorithms
Learning-based superresolution (SR) are popular SR techniques that use application dependent priors to infer the missing details in low resolution images (LRIs). However, their pe...
Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung T...
TPHOL
2006
IEEE
15 years 3 months ago
Minlog
We extract on the computer a number of moduli of uniform continuity for the first few elements of a sequence of closed terms t of G¨odel’s T of type (N→N)→(N→N). The gen...
Helmut Schwichtenberg
ICML
2003
IEEE
15 years 10 months ago
A Kernel Between Sets of Vectors
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...
Risi Imre Kondor, Tony Jebara
ICASSP
2009
IEEE
15 years 4 months ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe
ICPR
2004
IEEE
15 years 10 months ago
Global Localization and Relative Pose Estimation Based on Scale-Invariant Features
The capability of maintaining the pose of the mobile robot is central for basic navigation and map building tasks. In this paper we describe a vision-based hybrid localization sch...
Jana Kosecka, Xiaolong Yang