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PRAC: Exploiting partial packets without cross-layer or feedback information

Author:
Angelopoulos, G. , Chandrakasan, A.P. , Medard, M.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICPR.2014.407
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1022320
Keyword(s): graph theory,image representation,pattern clustering,statistical analysis,transforms,unsupervised learning,Caltech101 datasets,SIFT descriptor extraction,bag-of-words,co-occurrence encoding,co-occurring nodes,co-occurring visual words,emergent clusters,emergent pattern properties,feature co-occurrence,image collections,image datasets,image representation,normalized cuts,object class identification,object identifiers,statistical analysis,unsupervised method,visual words,we
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    PRAC: Exploiting partial packets without cross-layer or feedback information

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contributor authorAngelopoulos, G. , Chandrakasan, A.P. , Medard, M.
date accessioned2020-03-12T20:41:59Z
date available2020-03-12T20:41:59Z
date issued2014
identifier other6884247.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1022320?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titlePRAC: Exploiting partial packets without cross-layer or feedback information
typeConference Paper
contenttypeMetadata Only
identifier padid8147071
subject keywordsgraph theory
subject keywordsimage representation
subject keywordspattern clustering
subject keywordsstatistical analysis
subject keywordstransforms
subject keywordsunsupervised learning
subject keywordsCaltech101 datasets
subject keywordsSIFT descriptor extraction
subject keywordsbag-of-words
subject keywordsco-occurrence encoding
subject keywordsco-occurring nodes
subject keywordsco-occurring visual words
subject keywordsemergent clusters
subject keywordsemergent pattern properties
subject keywordsfeature co-occurrence
subject keywordsimage collections
subject keywordsimage datasets
subject keywordsimage representation
subject keywordsnormalized cuts
subject keywordsobject class identification
subject keywordsobject identifiers
subject keywordsstatistical analysis
subject keywordsunsupervised method
subject keywordsvisual words
subject keywordswe
identifier doi10.1109/ICPR.2014.407
journal titleommunications (ICC), 2014 IEEE International Conference on
filesize601823
citations0
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