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Feature vector

Known as: Feature space, Attribute construction, Feature construction 
In pattern recognition and machine learning, a feature vector is an n-dimensional vector of numerical features that represent some object. Many… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Text categorization is widely characterized as a multi-label classification problem. Robust modeling of the semantic similarity… 
Highly Cited
2014
Highly Cited
2014
Appearance modeling is a key issue for the success of a visual tracker. Sparse representation based appearance modeling has… 
Highly Cited
2010
Highly Cited
2010
In this work, we propose a novel representation of text based on patterns derived from linguistic annotation graphs. We use a… 
2010
2010
Asphyxia occurs in infants with neurological level disturbance, which is found to affect sound of cry produced by infants. The… 
2007
2007
Abstract : Geometric harmonics provides a framework for taking data in high-dimensional measurement spaces and embedding them in… 
2006
2006
Speaker adaptation is critical for modern speech recognition sys-tems. Due to the computational and multi-channel model sharing… 
Highly Cited
2005
Highly Cited
2005
This paper presents and analyzes 12 quality measures that characterize robotic grips according to their stability and reliability… 
2004
2004
OntoLearn is a system for word sense disambiguation, used to automat- ically enrich WordNet with domain concepts and to… 
Highly Cited
1994
Highly Cited
1994
This paper examines the effects of additive Gaussian noise on the short-term cepstral analysis of speech. We identify three…