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Discriminative tracking via supervised tensor learning
Guoxia Xu
,
Sheheryar Khan
, Hu Zhu
, Lixin Han
, Michael K. Ng
, Hong Yan
Division of Science, Engineering and Health Studies (SEHS)
Research output
:
Contribution to journal
›
Article
›
peer-review
17
Citations (Scopus)
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Keyphrases
Visual Tracking
100%
Multilinear
100%
Discriminative Ability
100%
Target Representation
100%
Tensor-based
100%
Discriminative Tracking
100%
Supervised Tensor Learning
100%
Online Tracking
50%
Block Coordinate Descent
50%
Classifier Updating
50%
Vector Representation
50%
Update Mechanism
50%
Learning Task
50%
Multidimensional Data
50%
Detection Task
50%
Vector-based
50%
Spatial Cues
50%
Decision Function
50%
Tracking Algorithm
50%
Data Array
50%
Image Transformation
50%
Truncated Tucker Decomposition
50%
Experiment Results
50%
Tensor Recovery
50%
Discriminative Framework
50%
Linear Learning
50%
Noise Effects
50%
Spatial Structure
50%
Tracking Benchmark
50%
Coordinate Descent Optimization
50%
Unconstrained Environment
50%
Tensor Classifiers
50%
Structured Support
50%
Large Margin
50%
Tracking Method
50%
Nonlinearity
50%
Engineering
Decision Function
100%
Nonlinearity
100%
Tracking Algorithm
100%
Array Data
100%
Learning Task
100%
Closed Form Solution
100%
Detection Task
100%
Spatial Structure
100%
Image Transformation
100%
Representation Vector
100%
Computer Science
Tracking Algorithm
100%
Spatial Structure
100%
Image Transformation
100%
Multidimensional Data
100%
Data Array
100%
Tracking Method
100%