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» Segmenting Documents using Multiple Lexical Features
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SIGIR
2003
ACM
15 years 2 months ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann
82
Voted
ACL
2012
12 years 12 months ago
Detecting Semantic Equivalence and Information Disparity in Cross-lingual Documents
We address a core aspect of the multilingual content synchronization task: the identification of novel, more informative or semantically equivalent pieces of information in two d...
Yashar Mehdad, Matteo Negri, Marcello Federico
88
Voted
CVPR
2007
IEEE
15 years 11 months ago
Multi-scale Structural Saliency for Signature Detection
Detecting and segmenting free-form objects from cluttered backgrounds is a challenging problem in computer vision. Signature detection in document images is one classic example an...
Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stef...
ICASSP
2011
IEEE
14 years 1 months ago
Lexical access experiments with context-dependent articulatory feature-based models
We address the problem of pronunciation variation in conversational speech with a context-dependent articulatory featurebased model. The model is an extension of previous work usi...
Preethi Jyothi, Karen Livescu, Eric Fosler-Lussier
PREMI
2007
Springer
15 years 3 months ago
Segmenting Multiple Textured Objects Using Geodesic Active Contour and DWT
We address the issue of segmenting multiple textured objects in presence of a background texture. The proposed technique is based on Geodesic Active Contour (GAC) and can segment m...
Surya Prakash, Sukhendu Das