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» Boosting for Text Classification with Semantic Features
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ICTAI
2007
IEEE
14 years 2 days ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
SEMCO
2009
IEEE
14 years 15 days ago
Semantic Image Classification for Medical Videos
Due to rapid advances in video technology and biomedicine, there has been a tremendous growth in the volume of medical video data for recent years. Exploring the full potential of...
Shih-Hsi Liu, Yu Cao, Yili Li, Ming Li, Sanqing Hu
ECCV
2006
Springer
14 years 7 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...
ACL
2004
13 years 7 months ago
Classifying Semantic Relations in Bioscience Texts
A crucial step toward the goal of automatic extraction of propositional information from natural language text is the identification of semantic relations between constituents in ...
Barbara Rosario, Marti A. Hearst
EWCBR
2004
Springer
13 years 11 months ago
Feature Selection and Generalisation for Retrieval of Textual Cases
Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich comparison of textual cases remains an important challenge for these systems. How...
Nirmalie Wiratunga, Ivan Koychev, Stewart Massie