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» Input Modeling Using Quantile Statistical Methods
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158
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SCALESPACE
2007
Springer
15 years 9 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
ICDAR
2003
IEEE
15 years 8 months ago
Recovery of Writing Sequence of Static Images of Handwriting using UWM
It is generally agreed that an on-line recognition system is always reliable than an off-line one. It is due to the availability of the dynamic information, especially the writing...
Kai Kwong Lau, Pong Chi Yuen, Yuan Yan Tang
125
Voted
ACTAC
2006
126views more  ACTAC 2006»
15 years 3 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
CVPR
2007
IEEE
16 years 5 months ago
Image-Based Localization Using Hybrid Feature Correspondences
Where am I and what am I seeing? This is a classical vision problem and this paper presents a solution based on efficient use of a combination of 2D and 3D features. Given a model...
Fredrik Kahl, Kalle Åström, Klas Joseph...
140
Voted
ISBI
2011
IEEE
14 years 7 months ago
Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression
Most algorithms used for imaging genetics examine statistical effects of each individual genetic variant, one at a time. We developed a new approach, based on ridge regression, to...
Omid Kohannim, Derrek P. Hibar, Jason L. Stein, Ne...