211 search results - page 36 / 43 » Semi-Markov Conditional Random Fields for Information Extrac... |
137
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CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales....
141
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
145
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COLING
2010
2010
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
14 years 10 months ago
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
124
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ICRA
2008
IEEE
15 years 10 months ago
2008
IEEE
— In this paper, we describe the components of a novel algorithm for the extraction of dominant orthogonal planar structures from monocular images taken in indoor environments. T...
126
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ECCV
2006
Springer
16 years 5 months ago
2006
Springer
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...