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Hierarchical classifier

Known as: Classifier, Heirarchical classifier 
A hierarchical classifier is a classifier that maps input data into defined subsumptive output categories. The classification occurs first on a low… 
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Related topics

Related topics

10 relations
Artificial consciousnessComputer visionData (computing)Deductive classifier

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Classification of acute lymphoblastic leukaemia using hybrid hierarchical classifiers
In current consequence of haematology, blood cancer i.e. acute lymphoblastic leukemia is very frequently founded in medical… 
Highly Cited
2015
Highly Cited
2015
Bayesian Network-Based Customized Highlight Generation for Broadcast Soccer Videos
Sports highlight generation techniques aim at condensing a full-length video to a significantly shortened version that still… 
Highly Cited
2014
Highly Cited
2014
Combining Multimodal Features with Hierarchical Classifier Fusion for Emotion Recognition in the Wild
Emotion recognition in the wild is a very challenging task. In this paper, we investigate a variety of different multimodal… 
Highly Cited
2014
Highly Cited
2014
Hierarchical classification with reject option for live fish recognition
A live fish recognition system is needed in application scenarios where manual annotation is too expensive, i.e. too many… 
Highly Cited
2013
Highly Cited
2013
Hierarchical Part Matching for Fine-Grained Visual Categorization
As a special topic in computer vision, fine-grained visual categorization (FGVC) has been attracting growing attention these… 
Highly Cited
2012
Highly Cited
2012
Facial expression recognition using radial encoding of local Gabor features and classifier synthesis
2012
2012
Hierarchical classification using a Competitive Neural Network
Hierarchical classification is a problem with application in many areas. Therefore, it makes the development of algorithms able… 
Highly Cited
2011
Highly Cited
2011
Bayesian belief network based broadcast sports video indexing
This paper presents a probabilistic Bayesian belief network (BBN) method for automatic indexing of excitement clips of sports… 
Highly Cited
2005
Highly Cited
2005
Learning question classifiers: the role of semantic information
To respond correctly to a free form factual question given a large collection of text data, one needs to understand the question… 
2002
2002
Theoretical and Experimental Analysis of a Two-Stage System for Classification
We consider a popular approach to multicategory classification tasks: a two-stage system based on a first classifier with… 
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