Visual tracking based on extreme learning machine and sparse representation.
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Multi-View Structural Local Subspace TrackingEnhancement of ELDA Tracker Based on CNN Features and Adaptive Model UpdateReal-Time Tracking Framework with Adaptive Features and Constrained Labels.Visual Object Tracking Based on Cross-Modality Gaussian-Bernoulli Deep Boltzmann Machines with RGB-D Sensors.Deep Spatial-Temporal Joint Feature Representation for Video Object Detection.Crack Damage Detection Method via Multiple Visual Features and Efficient Multi-Task Learning Model.
P2860
Visual tracking based on extreme learning machine and sparse representation.
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2015 nî lūn-bûn
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2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
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2015年论文
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name
Visual tracking based on extreme learning machine and sparse representation.
@ast
Visual tracking based on extreme learning machine and sparse representation.
@en
type
label
Visual tracking based on extreme learning machine and sparse representation.
@ast
Visual tracking based on extreme learning machine and sparse representation.
@en
prefLabel
Visual tracking based on extreme learning machine and sparse representation.
@ast
Visual tracking based on extreme learning machine and sparse representation.
@en
P2093
P2860
P356
P1433
P1476
Visual tracking based on extreme learning machine and sparse representation.
@en
P2093
Baojun Zhao
Baoxian Wang
Jinglin Yang
Linbo Tang
Shuigen Wang
P2860
P304
26877-26905
P356
10.3390/S151026877
P407
P577
2015-10-22T00:00:00Z