نتایج جستجو برای: guided semantic mapping

تعداد نتایج: 390182  

Journal: :Applied sciences 2021

The perception and identification of visual stimuli from the environment is a fundamental capacity autonomous mobile robots. Current deep learning techniques make it possible to identify segment objects interest in an image. This paper presents novel algorithm object’s space segmentation image taken by 3D camera. proposed approach solves boundary pixel problem that appears when direct mapping s...

2018
Takahisa Ogawa Kei Ito Shinsuke Koshita Yoshihide Kanno Kaori Masu Hiroaki Kusunose Toshitaka Sakai Toji Murabayashi Sho Hasegawa Yutaka Noda

Background and study aims  Evaluation of longitudinal tumor extent is indispensable for curative surgical treatment of extrahepatic cholangiocarcinoma. The aim of this study was to evaluate the usefulness and feasibility of cholangioscopic-guided mapping biopsy using a newly developed peroral digital cholangioscope, SpyGlass DS (SpyDS), for preoperative evaluation of extrahepatic cholangiocarci...

Journal: :International Journal of Artificial Intelligence & Applications 2012

2004
Anastasia Krithara

A key challenge in the semantic web is the mapping between different concepts. Many techniques for such mapping exist, but most of them induce a one-to-one mapping, which does not seem to correspond to real world problems. This project proposes a new approach, which tries to use the power of machine learning, and in particular classification algorithms, to solve the mapping task. It introduces ...

Journal: :CoRR 2018
Jongmin Jeong Tae Sung Yoon Jin Bae Park

Semantic 3D mapping is one of the most important fields in robotics, and has been used in many applications, such as robot navigation, surveillance, and virtual reality. In general, semantic 3D mapping is mainly composed of 3D reconstruction and semantic segmentation. As these technologies evolve, there has been great progress in semantic 3D mapping in recent years. Furthermore, the number of r...

2010
Richard Gluga Judy Kay Tim Lever

Many of the most important learning goals can only be achieved over several years. This means that each semester’s teaching should build these skills. Our CUSP system helps achieve this over the 3 5 years of a university degree: it enables each teacher to map their own subject design to institutional learning goals; it creates both subject and degree-level models. It tackles the semantic mappin...

Journal: :Journal of Cognitive Neuroscience 2014

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