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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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Related topics

Related topics

34 relations
AlgorithmAutomatic image annotationBIRCHBinary classification

Broader (2)

Data miningMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Metric Learning Based Structural Appearance Model for Robust Visual Tracking
Appearance modeling is a key issue for the success of a visual tracker. Sparse representation based appearance modeling has… 
2010
2010
Classification of Infant Cries with Asphyxia Using Multilayer Perceptron Neural Network
Asphyxia occurs in infants with neurological level disturbance, which is found to affect sound of cry produced by infants. The… 
Highly Cited
2010
Highly Cited
2010
Sentiment Classification using Automatically Extracted Subgraph Features
In this work, we propose a novel representation of text based on patterns derived from linguistic annotation graphs. We use a… 
Highly Cited
2006
Highly Cited
2006
Finding Hierarchies of Subspace Clusters
Many clustering algorithms are not applicable to high-dimensional feature spaces, because the clusters often exist only in… 
2006
2006
An ensemble of SOM networks for document organization and retrieval
In this paper a variant of the well-known self-organizing map algorithm is exploited for document organization and retrieval. An… 
Highly Cited
2005
Highly Cited
2005
Visual quality measures for Characterizing Planar robot grasps
This paper presents and analyzes 12 quality measures that characterize robotic grips according to their stability and reliability… 
Highly Cited
2005
Highly Cited
2005
Genre Classification via an LZ78-Based String Kernel
We develop the notion of normalized information distance (NID) [7] into a kernel distance suitable for use with a Support Vector… 
2005
2005
MODULATION IDENTIFICATION USING NEURAL NETWORKS FOR COGNITIVE RADIOS
This paper presents a signal modulation classifier d sign using artificial neural networks. We analyze system -l vel issues… 
Highly Cited
1994
Highly Cited
1994
On the limitations of cepstral features in noise
This paper examines the effects of additive Gaussian noise on the short-term cepstral analysis of speech. We identify three… 
Highly Cited
1992
Highly Cited
1992
Robust face identification scheme: KL expansion of an invariant feature space
This paper proposes a new approach for extracting features from face images that offer robust face identification against image… 
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