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99
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ICCV
2007
IEEE
16 years 4 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...
112
Voted
CVPR
2009
IEEE
15 years 6 months ago
Efficient image alignment using linear appearance models
Visual tracking is a key component in many computer vision applications. Linear subspace techniques (e.g. eigentracking) are one of the most popular approaches to align templates ...
Jose Gonzalez-Mora, Nicolas Guil, Emilio L. Zapata...
ICPR
2000
IEEE
16 years 3 months ago
Winner-Update Algorithm for Nearest Neighbor Search
This paper presents an algorithm, called the winnerupdate algorithm, for accelerating the nearest neighbor search. By constructing a hierarchical structure ,for each feature point...
Yong-Sheng Chen, Yi-Ping Hung, Chiou-Shann Fuh
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 8 months ago
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
Xiaodong Li
133
Voted
ICCV
2009
IEEE
16 years 7 months ago
Beyond Connecting the Dots: A Polynomial-time Algorithm for Segmentation and Boundary Estimation with Imprecise User Input
We propose a polynomial-time algorithm for segmentation and (open) boundary estimation which takes into account a series of user-specified attraction points. In contrast to exis...
Thomas Windheuser, Thomas Schoenemann, Daniel Crem...