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Probabilistic Latent Document Network Embedding

contributor authorLe, Tuan M.V.
contributor authorLauw, Hady W.
date accessioned2020-03-12T22:46:38Z
date available2020-03-12T22:46:38Z
date issued2014
identifier other7023344.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1094201?show=full
formatgeneral
languageEnglish
publisherIEEE
titleProbabilistic Latent Document Network Embedding
typeConference Paper
contenttypeMetadata Only
identifier padid8233896
subject keywordscomputational complexity
subject keywordsn image classification
subject keywordsn image sampling
subject keywordsn learning (artificial intelligence)
subject keywordsn object detection
subject keywordsn pattern clustering
subject keywordsn pedestrians
subject keywordsn support vector machines
subject keywordsn HOG features
subject keywordsn SURF points
subject keywordsn SVM-classifier
subject keywordsn cascade-Adaboost structure
subject keywordsn deformable part models
subject keywordsn detection failure
subject keywordsn k-means clustering scheme
subject keywordsn nonrobust features
subject keywordsn object detection
subject keywordsn pedestrian detection
subject keywordsn shift with importance sampling technique
subject keywordsn time
identifier doi10.1109/ICCE-TW.2014.6904057
journal titleata Mining (ICDM), 2014 IEEE International Conference on
filesize1684229
citations0


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