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Sequence labeling

In machine learning, sequence labeling is a type of pattern recognition task that involves the algorithmic assignment of a categorical label to each… 
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Related topics

Related topics

10 relations
Artificial intelligenceBayesian networkConditional random fieldHidden Markov model

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Automatic Classification of Thangka Headdresses Based on Convolutional Depth Neural Networks
As a representative of Tibetan culture, people's headdresses in Thangka can be divided into hairpin, monk hat and crown. In order… 
Review
2016
Review
2016
Sentiment Classification of Food Reviews
Sentiment analysis of reviews is a popular task in natural language processing. In this work, the goal is to predict the score of… 
2016
2016
UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task
Penn Discourse Treebank style discourse parsing is a composite task of detecting explicit and non-explicit discourse relations… 
2015
2015
Road and obstacle detection based on multi-layer laser radar in driverless car
To make a driverless car with better environment awareness, multi-layer laser radar was applied to detect roads and obstacles… 
2014
2014
Learning to Translate: A Query-Specific Combination Approach for Cross-Lingual Information Retrieval
When documents and queries are presented in different languages, the common approach is to translate the query into the document… 
2012
2012
Initialization of Iterative-Based Speaker Diarization Systems for Telephone Conversations
Speaker diarization systems attempt to assign temporal segments from a conversation between R speakers to an appropriate speaker… 
2010
2010
Embedded low-level video processing for surveillance purposes
This paper introduces an embedded architecture and the low-level video processing algorithms developed for an intelligent node… 
2008
2008
Hidden Dynamic Probabilistic Models for Labeling Sequence Data
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic… 
2005
2005
Region-based analysis and retrieval for tracking of semantic objects and provision of augmented information in interactive sport scenes
This paper introduces techniques for segmentation and tracking based on analysis of region derived descriptors. By partitioning… 
1989
1989
Constraint Satisfiability Algorithms for Interactive Student Scheduling
A constraint satisfiability problem consists of a set of variables, their associated domains (i.e., the set of values the… 
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