Context as supervisory signal: Discovering objects with predictable context

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8691 LNCS, Issue PART 3, 2014, Pages 362-377

  Doersch, Carl ^a   Gupta, Abhinav ^a   Efros, Alexei A ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Context; mining; prediction; unsupervised object discovery

Indexed keywords

FUZZY CLUSTERING; ITERATIVE METHODS; MINING; TESTING;

CONTEXT; CONTEXT PREDICTIONS; QUALITY OF CONTEXTS; REGION PREDICTIONS; SEGMENTATION MASKS; STATISTICAL HYPOTHESIS TESTING; UNSUPERVISED CLUSTERING; UNSUPERVISED OBJECT DISCOVERIES;

FORECASTING;

EID: 84906483885     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10578-9_24     Document Type: Conference Paper

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