3 résultat(s)
Télécharger le livre : Unsupervised Domain Adaptation
Zhekai Du , Jingjing Li , Lei Zhu
Unsupervised Domain Adaptation
Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data. In recent years, UDA has received significant attention from the research...
Editeur : Springer
Parution : 2024-04-22

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173,56 €
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Télécharger le livre : Dynamic Graph Learning for Dimension Reduction and Data Clustering
Jingjing Li , Zheng Zhang , Lei Zhu
Dynamic Graph Learning for Dimension Reduction and Data Clustering
This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph...
Editeur : Springer
Parution : 2023-09-20

Format(s) : PDF, ePub
40,83 €
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Télécharger le livre : Multi-modal Hash Learning
Weili Guan , Jingjing Li , Lei Zhu
Multi-modal Hash Learning
This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology.  With the explosive growth of multimedia...
Editeur : Springer
Parution : 2023-08-04

Format(s) : PDF, ePub
40,83 €
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