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» Mixed Models for the Analysis of Local Search Components
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ICDAR
2009
IEEE
14 years 2 months ago
Text Localization in Natural Scene Images Based on Conditional Random Field
This paper proposes a novel hybrid method to robustly and accurately localize texts in natural scene images. A text region detector is designed to generate a text confidence map,...
Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu
BMCBI
2006
137views more  BMCBI 2006»
13 years 7 months ago
INTEGRATOR: interactive graphical search of large protein interactomes over the Web
Background: The rapid growth of protein interactome data has elevated the necessity and importance of network analysis tools. However, unlike pure text data, network search spaces...
Aaron N. Chang, Jason McDermott, Zachary Frazier, ...
JMLR
2010
144views more  JMLR 2010»
13 years 2 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
ICDAR
2011
IEEE
12 years 7 months ago
Localization of Digit Strings in Farsi/Arabic Document Images Using Structural Features and Syntactical Analysis
—This paper presents a new method for localization of digit strings with a specific syntax in Farsi/ Arabic document images. First, some features are extracted from all connected...
Ali Abedi, Karim Faez
IJON
2007
96views more  IJON 2007»
13 years 7 months ago
Suppressive effects in visual search: A neurocomputational analysis of preview search
In the real world, visual information is selected over time as well as space, when we prioritise new stimuli for attention. Watson and Humphreys [Visual marking: prioritising sele...
Eirini Mavritsaki, Dietmar Heinke, Glyn W. Humphre...