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|Title:||Visual similarity using deep learning||Authors:||Nguyen, Hoang Son||Keywords:||DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence||Issue Date:||2017||Abstract:||Computer Vision has always been one of the most challenging tasks in Machine Learning field due to the semantic gap between image representation in machines (matrix of pixels) and image perception in human mind. One fundamental task of Computer Vision is to compare images. In this paper, we will present an approach to solve this visual similarity task by leveraging Convolutional Neural Network which has gained a significant results recently||URI:||http://hdl.handle.net/10356/70173||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Student Reports (FYP/IA/PA/PI)|
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