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000782383 019__ $$a988556173
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000782383 1001_ $$aLi, Zechano.
000782383 24510 $$aUnderstanding-oriented multimedia content analysis /$$cZachao Li.
000782383 260__ $$aSingapore :$$bSpringer,$$c2017.
000782383 300__ $$a1 online resource.
000782383 336__ $$atext$$btxt$$2rdacontent
000782383 337__ $$acomputer$$bc$$2rdamedia
000782383 338__ $$aonline resource$$bcr$$2rdacarrier
000782383 4901_ $$aSpringer theses
000782383 500__ $$a"Doctoral thesis accepted by University of Chinese Academy of Sciences, Beijing, China."
000782383 504__ $$aIncludes bibliographical references.
000782383 5050_ $$aSupervisor's Foreword; Preface; Parts of this book have been published in the following articles:Zechao Li, Jing Liu, Jinhui Tang, Hanqing Lu. Robust Structured Subspace Learning for Data Representation. IEEE Trans. on Pattern Analysis and Machine Intelligence 37(10): 2085-2098, 2015.Zechao Li, Jinhui Tang. Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control. IEEE Trans. on Image Processing 24(12): 5343-5355, 2015.Zechao Li, Jing Liu, Yi Yang, Xiaofang Zhou, Hanqing Lu. Clustering-Guided Spa; Acknowledgements; Contents; Notations; 1 Introduction
000782383 5058_ $$a1.1 Multimedia Analysis and Understanding1.2 Challenges and Progresses; 1.3 Understanding-Oriented Multimedia Content Analysis; 1.4 Organization of This Book; References; 2 Understanding-Oriented Unsupervised Feature Selection; 2.1 Introduction; 2.2 Related Work; 2.3 Clustering-Guided Sparse Structural Learning#x83;; 2.3.1 Nonnegative Spectral Clustering; 2.3.2 Sparse Structural Analysis; 2.3.3 Optimization; 2.3.4 Convergence Analysis; 2.3.5 Discussions; 2.3.6 Experiments; 2.4 Nonnegative Spectral Analysis and Redundancy Control for Unsupervised Feature Selection; 2.4.1 The Objective Function
000782383 5058_ $$a2.4.2 Optimization2.4.3 Experiments; 2.5 Discussions; References; 3 Understanding-Oriented Feature Learning; 3.1 Introduction; 3.2 Related Work; 3.2.1 Feature Selection; 3.2.2 Subspace Learning; 3.3 The Proposed RSSL Framework; 3.3.1 Formulation; 3.3.2 Optimization; 3.3.3 Computational Complexity Analysis; 3.3.4 Image Understanding Tasks; 3.4 Performance Evaluation; 3.4.1 Image Tagging; 3.4.2 Clustering; 3.4.3 Classification; 3.4.4 Discussion; 3.5 Discussions; References; 4 Personalized Tag Recommendation; 4.1 Introduction; 4.2 Related Work; 4.3 Personalized Geo-Specific Tag Recommendation
000782383 5058_ $$a4.3.1 Overview of Our Solution4.3.2 Discovering Intermediate Space and Unified Space; 4.3.3 Optimization; 4.3.4 Tag Representation in Unified Space; 4.3.5 Tag Recommendation; 4.4 Performance Evaluation; 4.4.1 Dataset; 4.4.2 Evaluation Measures; 4.4.3 Parameter Setting; 4.4.4 Compared Methods; 4.4.5 Parameter Sensitivity Analysis; 4.4.6 Experimental Analysis; 4.5 Discussions; References; 5 Understanding-Oriented Multimedia News Retrieval; 5.1 Introduction; 5.2 Related Work; 5.3 Person-Centered Multimedia News Retrieval; 5.3.1 Overview of the Proposed MMPNR System
000782383 5058_ $$a5.3.2 Correlation Initialization5.3.3 Correlation Reconstruction; 5.3.4 Ranking and Visualization; 5.4 Multimedia News Contextualization; 5.4.1 Overview of GeoVisNews; 5.4.2 News Document Geo-Localization; 5.4.3 Image Enrichment; 5.4.4 Result Ranking and Visualization; 5.5 Discussions; References; 6 Understanding-Oriented Multimedia News Summarization; 6.1 Introduction; 6.2 Previous Work; 6.3 Multimedia News Summarization; 6.3.1 Hierarchical Topic Structure; 6.3.2 Multimedia Topic Representation; 6.3.3 User Interface Overview; 6.4 Performance Evaluation
000782383 506__ $$aAccess limited to authorized users.
000782383 588__ $$aDescription based on print version record.
000782383 650_0 $$aMultimedia systems.
000782383 650_0 $$aInformation retrieval.
000782383 77608 $$iPrint version:$$z9811036888$$z9789811036880$$w(OCoLC)966556131
000782383 830_0 $$aSpringer theses.
000782383 852__ $$bebk
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