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Akisato Kimura

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Paper reading - Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Paper reading - Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
多変量解析の一般化
CVPR2016 reading - 特徴量学習とクロスモーダル転移について
NIPS2015 reading - Learning visual biases from human imagination
CVPR2015 reading "Global refinement of random forest"
CVPR2015 reading "Understainding image virality" (in Japanese)
Computational models of human visual attention driven by auditory cues
NIPS2014 reading - Top rank optimization in linear time
CVPR2014 reading "Reconstructing storyline graphs for image recommendation from web community photos"
ICCV2013 reading: Learning to rank using privileged information
ACMMM 2013 reading: Large-scale visual sentiment ontology and detectors using adjective noun pairs
IJCAI13 Paper review: Large-scale spectral clustering on graphs
関西CVPR勉強会 2012.10.28