Searched for: subject:"classification"
(1 - 20 of 109)

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Nguyen, T.T. (author), Krishnakumari, P.K. (author), Calvert, S.C. (author), Vu, Hai L. (author), van Lint, J.W.C. (author)
Classification of congestion patterns is important in many areas in traffic planning and management, ranging from policy appraisal, database design, to prediction and real-time control. One of the key constraints in applying machine learning techniques for classification is the availability of sufficient data (traffic patterns) with clear and...
journal article 2019
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Bouts, Mark J.R.J. (author), Van Der Grond, Jeroen (author), Vernooij, Meike W. (author), Koini, Marisa (author), Schouten, T.M. (author), de Vos, Frank (author), Feis, Rogier A. (author), Lechner, Anita (author), Niessen, W.J. (author), More Authors (author)
Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the...
journal article 2019
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Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
Since the introduction of the Automatic Identification System (AIS), AIS data has proven to be a valuable source of ship behavior analysis using data mining. It records ship position, speed and other behavior attributes at specific time intervals in all voyages at sea and in ports. However, the current studies in ship behavior analyze the...
journal article 2019
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de Ronde, Anouk (author), van Aken, Marja (author), de Puit, M. (author), de Poot, Christianne (author)
In this paper, we describe a promising method to evaluate the location of fingermarks on two-dimensional objects, which provides valuable information for the evaluation of fingermarks at activity level. For this purpose, an experiment with pillowcases was conducted at the Dutch music festival Lowlands, to test whether the activity ‘smothering...
journal article 2019
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Gaida, T.C. (author), Ali, Tengku Afrizal Tengku (author), Snellen, M. (author), Amiri Simkooei, A. (author), van Dijk, T.A.G.P. (author), Simons, D.G. (author)
Multi-frequency backscatter data collected from multibeam echosounders (MBESs) is increasingly becoming available. The ability to collect data at multiple frequencies at the same time is expected to allow for better discrimination between seabed sediments. We propose an extension of the Bayesian method for seabed classification to multi...
journal article 2018
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Kouw, W.M. (author)
Artificial intelligence, and in particular machine learning, is concerned with teaching computer systems to perform tasks. Tasks such as autonomous driving, recognizing tumors in medical images, or detecting suspicious packages in airports. Such systems learn by observing examples, i.e. data, and forming a mathematical description of what types...
doctoral thesis 2018
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Wang, J. (author), Lindenbergh, R.C. (author)
Urban trees are an important component of our environment and ecosystem. Trees are able to combat climate change, clean the air and cool the streets and city. Tree inventory and monitoring are of great interest for biomass estimation and change monitoring. Conventionally, parameters of trees are manually measured and documented in situ, which...
journal article 2018
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Hermidas, N. (author), Eggenhuisen, Joris T. (author), Jacinto, Ricardo Silva (author), Luthi, S.M. (author), Toth, Ferenc (author), Pohl, Florian (author)
/hr. In...
journal article 2018
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Reale, C. (author), Gavin, K. (author), Librić, Lovorka (author), Jurić-Kaćunić, Danijela (author)
Soil classification is a means of grouping soils into categories according to a shared set of properties or characteristics that will exhibit similar engineering behaviour under loading. Correctly classifying site conditions is an important, costly, and time-consuming process which needs to be carried out at every building site prior to the...
journal article 2018
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Peters, R.Y. (author)
A geographical point cloud is a detailed three-dimensional representation of the geometry of our geographic environment. Using geographical point cloud modelling, we are able to extract valuable information from geographical point clouds that can be used for applications in asset management, crisis management, city and landscape planning, and...
doctoral thesis 2018
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Donchyts, G. (author)
This thesis studies automated methods of surface water detection from satellite imagery. Multiple existing methods are explored, discussed, and some new algorithms are introduced to allowvery accurate detection of surface water and surfacewater changes. Themethods range in applicability from the local level to global, and from detecting high...
doctoral thesis 2018
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Kang, Z. (author), Yang, Juntao (author), Zhong, Ruofei (author), Wu, Yongxing (author), Shi, Zhenwei (author), Lindenbergh, R.C. (author)
The digital mapping of road environment is an important task for road infrastructure inventory and urban planning. Automatic extraction and classification of pole-like objects can remarkably reduce mapping cost and enhance work efficiency. Therefore, this paper proposes a voxel-based method that automatically extracts and classifies three...
journal article 2018
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Sulzer, Raphael (author), Nourian, P. (author), Palmieri, M. (author), van Gemert, J.C. (author)
This paper investigates automatic prediction of seismic building structural types described by the Global Earthquake Model (GEM) taxonomy, by combining remote sensing, cadastral and inspection data in a supervised machine learning approach. Our focus lies on the extraction of detailed geometric information from a point cloud gained by aerial...
conference paper 2018
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Zheng, M. (author), Lemmens, M.J.P.M. (author), van Oosterom, P.J.M. (author)
This paper presents our work on automated classification of Mobile Laser Scanning (MLS) point clouds of urban scenes with features derived from cylinders around points of consideration. The core of our method consists of spanning up a cylinder around points and deriving features, such as reflectance, height difference, from the points present...
conference paper 2018
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Starmans, Martijn P.A. (author), Miclea, Razvan L. (author), Niessen, W.J. (author), Thomeer, Maarten G. (author), Klein, S. (author)
Correct diagnosis of the liver tumor phenotype is crucial for treatment planning, especially the distinction between malignant and benign lesions. Clinical practice includes manual scoring of the tumors on Magnetic Resonance (MR) images by a radiologist. As this is challenging and subjective, it is often followed by a biopsy. In this study,...
conference paper 2018
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Chen, Y. (author), Gao, W. (author), Widyaningrum, E. (author), Zheng, M. (author), Zhou, K. (author)
Semantic segmentation, especially for buildings, from the very high resolution (VHR) airborne images is an important task in urban mapping applications. Nowadays, the deep learning has significantly improved and applied in computer vision applications. Fully Convolutional Networks (FCN) is one of the tops voted method due to their good...
journal article 2018
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Molijn, R.A. (author), Iannini, L. (author), Lopez Dekker, J.F. (author), Magalhães, Paulo S.G. (author), Hanssen, R.F. (author)
Current space-based SAR offers unique opportunities to classify vegetation types and to monitor vegetation growth due to its frequent acquisitions and its sensitivity to vegetation geometry. However, SAR signals also experience frequent temporal fluctuations caused by precipitation events, complicating the mapping and monitoring of vegetation....
journal article 2018
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Lemmens, M.J.P.M. (author)
A knowledge-based system exploits the knowledge, which a human expert uses for completing a complex task, through a database containing decision rules, and an inference engine. Already in the early nineties knowledge-based systems have been proposed for automated image classification. Lack of success faded out initial interest and enthusiasm,...
journal article 2018
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Zhang, T. (author), Runge, Jurgen H. (author), Lavini, Cristina (author), Stoker, Jaap (author), Van Gulik, Thomas (author), Cieslak, Kasia P. (author), van Vliet, L.J. (author), Vos, F.M. (author)
The Couinaud classification of hepatic anatomy partitions the liver into eight functionally independent segments. Detection and segmentation of the hepatic vein (HV), portal vein (PV) and inferior vena cava (IVC) plays an important role in the subsequent delineation of the liver segments. To facilitate pharmacokinetic modeling of the liver...
conference paper 2018
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Pei, W. (author), Dibeklioglu, H. (author), Tax, D.M.J. (author), van der Maaten, L.J.P. (author)
We present a new model for multivariate time-series classification, called the hidden-unit logistic model (HULM), that uses binary stochastic hidden units to model latent structure in the data. The hidden units are connected in a chain structure that models temporal dependencies in the data. Compared with the prior models for time-series...
journal article 2018
Searched for: subject:"classification"
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