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pro vyhledávání: '"Oren Boiman"'
Publikováno v:
Magnetic Resonance Imaging. 22:1265-1278
Improving the resolution of magnetic resonance imaging (MRI), or, alternatively, reducing the acquisition time, can be quite beneficial for many applications. The main motivation of this work is the assumption that any information that is a priori av
Publikováno v:
CVPR
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric nearest-neighbor (NN) based image classifiers require no training time and have other favorable propert
Publikováno v:
SPIE Proceedings.
The aerial images of modern photomasks are highly susceptible to CD errors, owing to the high MEEF values characteristic of the low-k 1 regime. The requirement for tight wafer CD control thus places stringent constraints on mask errors. Nevertheless,
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540886921
ECCV (4)
ECCV (4)
There is a huge diversity of definitions of "visually meaningful" image segments, ranging from simple uniformly colored segments, textured segments, through symmetric patterns, and up to complex semantically meaningful objects. This diversity has led
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::965f105f80ebf4ccf8496850b2010a56
https://doi.org/10.1007/978-3-540-88693-8_3
https://doi.org/10.1007/978-3-540-88693-8_3
Autor:
Michal Irani, Oren Boiman
Publikováno v:
ICCV
We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term "irregular" depends on the context in which the "regular" or "valid" are d