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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
CVPR
2010
IEEE
15 years 6 months ago
Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora
We propose a semi-supervised model which segments and annotates images using very few labeled images and a large unaligned text corpus to relate image regions to text labels. Give...
Richard Socher, Li Fei-Fei
ICTA
2009
IEEE
15 years 4 months ago
Feasibility Analysis for SemiAutomatic Conversion of Text to Improve Readability
1 WCAG 2.0 (W3C Recommendation 11 Dec. 2008) recommendation includes a specific guideline regarding the readability of text contents. This paper presents an approach to adapt text ...
Susana Bautista, Pablo Gervás, R. Ignacio M...
97
Voted
AIME
2009
Springer
15 years 4 months ago
Segmentation of Text and Non-text in On-Line Handwritten Patient Record Based on Spatio-Temporal Analysis
Note taking is a common way for physicians to collect information from their patients in medical inquiries and diagnoses. Many times, when describing the pathology in medical recor...
Rattapoom Waranusast, Peter Haddawy, Matthew N. Da...
IJCNN
2007
IEEE
15 years 4 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...