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GLAD : Global-Local-Alignment Descriptor for Pedestrian ..:

, In: Proceedings of the 25th ACM international conference on Multimedia,

Wei, Longhui ; Zhang, Shiliang ; Yao, Hantao.. - p. 420-428 , 2017

Link: https://dl.acm.org/doi/10.1145/3123266.3123279

RT 
T1 <cTitle>Proceedings of the 25th ACM international conference on Multimedia</cTitle>: T1 <Title>GLAD				: Global-Local-Alignment Descriptor for Pedestrian Retrieval</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3123279&Exemplar=1&LAN=DE
				
A1 Wei, Longhui
A1 Zhang, Shiliang
A1 Yao, Hantao
A1 Gao, Wen
A1 Tian, Qi
PB ACM
YR 2017
K1 global-local-alignment descriptor
K1 person re-identification
K1 retrieval framework
K1 Information systems
K1 Information retrieval
K1 Specialized information retrieval
K1 Multimedia and multimodal retrieval
K1 Image search
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision representations
K1 Image representations
K1 Learning paradigms
K1 Supervised learning
K1 Ranking
K1 Supervised learning by classification
K1 Unsupervised learning
K1 Cluster analysis
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Unsupervised learning and clustering
SP 420
OP 428
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3123266.3123279
DO https://dl.acm.org/doi/10.1145/3123266.3123279
SF ELIB - SuUB Bremen

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