PPT-Ariadna
Author : phoebe-click | Published Date : 2016-07-29
Quattoni Antonio Torralba CSAIL MIT CSAIL MIT UC Berkeley EECS amp ICSI 32 Vassar St Cambridge MA 02139 ariadnacsailmitedu torralbacsailmitedu Recognizing
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Ariadna: Transcript
Quattoni Antonio Torralba CSAIL MIT CSAIL MIT UC Berkeley EECS amp ICSI 32 Vassar St Cambridge MA 02139 ariadnacsailmitedu torralbacsailmitedu Recognizing Indoor Scenes. mitedu Antonio Torralba CSAIL MIT 32 Vassar St Cambridge MA 02139 torralbacsailmitedu Abstract Indoor scene recognition is a challenging open prob lem in high level vision Most scene recognition models that work well for outdoor scenes perform poorly mitedu Abstract We present a discriminative partbased approach for the recognition of object classes from unsegmented cluttered scenes Objects are modeled as 64258exible constellations of parts conditioned on local observations found by an interest o study 13-9202:. . Space-based femtosecond laser . filamentation. Vytautas. . Jukna. , Arnaud . Couairon. , . Carles. . Milián. Centre de Physique théorique, . CNRS École . Polytechnique Palaiseau, . Ariadna study 13-9202: Space-based femtosecond laser filamentation Vytautas Jukna , Arnaud Couairon , Carles Milián Centre de Physique théorique, CNRS École Polytechnique Palaiseau, ARIA D NA NA NAXU
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