25 zoekresultaten voor “deep learning” in de Publieke website
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Deep learning for visual understanding
With the dramatic growth of the image data on the web, there is an increasing demand of the algorithms capable of understanding the visual information automatically.
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Exploring deep learning for multimodal understanding
This thesis mainly focuses on multimodal understanding and Visual Question Answering (VQA) via deep learning methods. For technical contributions, this thesis first focuses on improving multimodal fusion schemes via multi-stage vision-language interactions.
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Exploring Deep Learning for Intelligent Image Retrieval
This thesis mainly focuses on cross-modal retrieval and single-modal image retrieval via deep learning methods, i.e. by using deep convolutional neural networks.
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Exploring Images With Deep Learning for Classification, Retrieval and Synthesis
In 2018, the number of mobile phone users will reach about 4.9 billion. Assuming an average of 5 photos taken per day using the built-in cameras would result in about 9 trillion photos annually.
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Deep learning for tomographic reconstruction with limited data
Tomography is a powerful technique to non-destructively determine the interior structure of an object.Usually, a series of projection images (e.g.\ X-ray images) is acquired from a range of different positions.
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Understanding deep meta-learning
The invention of neural networks marks a critical milestone in the pursuit of true artificial intelligence. Despite their impressive performance on various tasks, these networks face limitations in learning efficiently as they are often trained from scratch.
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Searching by Learning: Exploring Artificial General Intelligence on Small Board Games by Deep Reinforcement Learning
In deep reinforcement learning, searching and learning techniques are two important components. They can be used independently and in combination to deal with different problems in AI, and have achieved impressive results in game playing and robotics. These results have inspired research into artificial…
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Machine learning and computer vision for urban drainage inspections
Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.
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Multi-dimensional feature and data mining
In this thesis we explore machine and deep learning approaches that address keychallenges in high dimensional problem areas and also in improving accuracy in wellknown problems. In high dimensional contexts, we have focused on computational fluid dynamics (CFD) simulations.
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Spectral imaging and tomographic reconstruction methods for industrial applications
Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.
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To explore the drug space smarter: Artificial intelligence in drug design for G protein-coupled receptors
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods…
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André Mesquita Fery Antunes
Wiskunde en Natuurwetenschappen
a.r.mesquita.fery.antunes@liacs.leidenuniv.nl | +31 71 527 2727
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Julia Wasala
Wiskunde en Natuurwetenschappen
j.wasala@liacs.leidenuniv.nl | +31 71 527 4799
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Suzan Verberne in de Volkskrant over nieuwe vertaaltechnologieën
Een intelligente vertaalmachine gebaseerd op nieuwe ontwikkelingen in machine learning gaat de concurrentie aan met grote vertaalservices als die van Google. Maar ook Google maakt grote vorderingen sinds het is het is overgestapt op deep learning, aldus informatica-onderzoeker Suzan Verberne in de V…
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Lezing: Aja Huang (Google DeepMind) over AlphaGo
Hoe is Google’s computerprogramma AlphaGo zo goed geworden in bordspel Go dat het de wereldkampioen kon verslaan? Op 29 juni vertelt ontwikkelaar Aja Huang daarover tijdens een lezing in het Gorlaeusgebouw.
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Jaap van den Herik vertelt in de Volkskrant en op BNR over AlphaGo en Diplomacy
De voorspelling van Jaap van den Herik, directeur van het Leiden Centre of Data Science, is uitgekomen: Google-computer AlpaGo heeft de wereldkampioen Go verslagen met 4-1. In interviews met de Volkskrant en BNR Nieuwsradio vertelt Van den Herik over het toernooi én over de volgende uitdaging: het spel…
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Aja Huang: ‘De kracht van AlphaGo zit in het gebruik van neurale netwerken’
Hoe is Google’s computerprogramma AlphaGo zo krachtig geworden? Op 29 juni vertelde ontwikkelaar Aja Huang daarover tijdens een lezing in het Gorlaeusgebouw.
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Michael Lew
Wiskunde en Natuurwetenschappen
m.s.lew@liacs.leidenuniv.nl | +31 71 527 7034
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Aske Plaat
Wiskunde en Natuurwetenschappen
a.plaat@liacs.leidenuniv.nl | +31 71 527 7065
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Ana Cristina Arcos Marin
Wiskunde en Natuurwetenschappen
a.c.arcos.marin@liacs.leidenuniv.nl | +31 71 527 2727
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Zihao Yuan
Wiskunde en Natuurwetenschappen
z.yuan@cml.leidenuniv.nl | +31 71 527 2727
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Computational optimisation of optical projection tomography for 3D image analysis
Optical projection tomography (OPT) is a tomographic 3D imaging technique used for specimens in the millimetre scale.
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Fons Verbeek
Wiskunde en Natuurwetenschappen
f.j.verbeek@liacs.leidenuniv.nl | +31 71 527 5773
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Alan Kai Hassen
Wiskunde en Natuurwetenschappen
a.k.hassen@liacs.leidenuniv.nl | +31 71 527 4799
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Guilherme Perin
Wiskunde en Natuurwetenschappen
g.perin@liacs.leidenuniv.nl | +31 71 527 2727