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IJCV
2008
266views more  IJCV 2008»
13 years 10 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
MM
2005
ACM
122views Multimedia» more  MM 2005»
14 years 3 months ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
TIP
2011
169views more  TIP 2011»
13 years 5 months ago
From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework
Abstract—We have developed a new face hallucination framework termed from local pixel structure to global image super-resolution (LPS-GIS). Based on the assumption that two simil...
Yu Hu, Kin-Man Lam, Guoping Qiu, Tingzhi Shen
ECCV
2006
Springer
15 years 4 days ago
Maximally Stable Local Description for Scale Selection
Scale and affine-invariant local features have shown excellent performance in image matching, object and texture recognition. This paper optimizes keypoint detection to achieve sta...
Cordelia Schmid, Gyuri Dorkó
IJON
2008
105views more  IJON 2008»
13 years 10 months ago
A comprehensive review of current local features for computer vision
Local features are widely utilized in a large number of applications, e.g., object categorization, image retrieval, robust matching, and robot localization. In this review, we foc...
Jing Li, Nigel M. Allinson