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» A Statistical Learning Approach To Document Image Analysis
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TNN
2010
205views Management» more  TNN 2010»
15 years 22 days ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
ICIW
2009
IEEE
15 years 3 months ago
Detecting Ontology Mappings via Descriptive Statistical Methods
Instance-based ontology mapping comprises a collection of theoretical approaches and applications for identifying the implicit semantic similarities between two ontologies on the ...
Konstantin Todorov
ADMA
2006
Springer
167views Data Mining» more  ADMA 2006»
16 years 11 hour ago
A Correlation Approach for Automatic Image Annotation
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...
David R. Hardoon, Craig Saunders, Sándor Sz...
PR
2002
129views more  PR 2002»
15 years 5 months ago
Text extraction in complex color documents
Text extraction in mixed-type documents is a pre-processing and necessary stage for many document applications. In mixed-type color documents, text, drawings and graphics appear w...
Charalambos Strouthopoulos, Nikos Papamarkos, Anto...
ICDAR
2007
IEEE
16 years 10 days ago
Exploiting Fisher Kernels in Decoding Severely Noisy Document Images
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
J. Chen, Y. Wang