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ICDAR
2009
IEEE
15 years 11 months ago
Scalable Feature Extraction from Noisy Documents
We cope with the metadata recognition in layoutoriented documents. We address the problem as a classification task and propose a method for automatic extraction of relevant featu...
Loïc Lecerf, Boris Chidlovskii
167
Voted
MVA
2000
172views Computer Vision» more  MVA 2000»
15 years 6 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi
PR
2006
113views more  PR 2006»
15 years 4 months ago
Face recognition from a single image per person: A survey
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
AND
2009
15 years 2 months ago
A comprehensive evaluation methodology for noisy historical document recognition techniques
In this paper, we propose a new comprehensive methodology in order to evaluate the performance of noisy historical document recognition techniques. We aim to evaluate not only the...
Nikolaos Stamatopoulos, Georgios Louloudis, Basili...
EIT
2008
IEEE
15 years 11 months ago
Taming XML: Objects first, then markup
Abstract—Processing markup in object-oriented languages often requires the programmer to focus on the objects generating the markup rather than the more pertinent domain objects....
Matt Bone, Peter F. Nabicht, Konstantin Läufe...