eendebak.bib
@article{Eendebak2018,
author = {{Schoen}, E.D. and {Eendebak}, P.~T. and {Goos}, P.},
title = {{A Classification Criterion for Definitive Screening Designs}},
year = 2018,
notes = {submitted}
}
@misc{Eendebak2016rank,
author = {P.T. Eendebak},
year = {2016},
title = {Efficient rank calculation for matrices with a common submatrix},
url = {files/efficient_rank_submatrix.pdf}
}
@article{Eendebak2016,
title = {Computer-automated tuning of semiconductor double quantum dots into the single-electron regime},
author = {T. A. Baart and P. T. Eendebak and C. Reichl and W. Wegscheider and L. M. K. Vandersypen},
journal = {Applied Physics Letters},
year = {2016},
number = {21},
pages = {213104},
volume = {108},
doi = {10.1063/1.4952624},
eprint = {https://doi.org/10.1063/1.4952624},
url = {https://arxiv.org/abs/1603.02274}
}
@article{Eendebak2015,
title = {Two-Level Designs to Estimate All Main Effects and Two-Factor Interactions},
author = {Pieter T. Eendebak and Eric D. Schoen},
journal = {Technometrics},
year = {2016},
number = {ja},
pages = {1-30},
volume = {0},
doi = {10.1080/00401706.2016.1142903},
url = {files/Eendebak2015technometrics.pdf}
}
@inproceedings{Hollander2015,
title = {Automatic inference of geometric camera parameters and inter-camera topology in uncalibrated disjoint surveillance cameras
},
abstract = {Person tracking across non-overlapping cameras and other types of video analytics benefit from spatial calibration information that allows an estimation of the distance between cameras and a relation between pixel coordinates and world coordinates within a camera. In a large environment with many cameras, or for frequent ad-hoc deployments of cameras, the cost of this calibration is high. This creates a barrier for the use of video analytics. Automating the calibration allows for a short configuration time, and the use of video analytics in a wider range of scenarios, including ad-hoc crisis situations and large scale surveillance systems. We show an autocalibration method entirely based on pedestrian detections in surveillance video in multiple non-overlapping cameras. In this paper, we show the two main components of automatic calibration. The first shows the intra-camera geometry estimation that leads to an estimate of the tilt angle, focal length and camera height, which is important for the conversion from pixels to meters and vice versa. The second component shows the inter-camera topology inference that leads to an estimate of the distance between cameras, which is important for spatio-temporal analysis of multi-camera tracking. This paper describes each of these methods and provides results on realistic video data.
},
author = {den Hollander, Richard J. M. and Bouma, Henri and Baan, Jan and Eendebak, Pieter T. and van Rest, Jeroen H. C.},
doi = {10.1117/12.2194435},
booktitle = {Proc. SPIE},
journal = {Proc. SPIE},
pages = {96520D-96520D-15},
urlx = { http://dx.doi.org/10.1117/12.2194435},
volume = {9652},
year = {2015},
url = {files/Hollander_2015_SPIE_Autocalibration.pdf}
}
@inproceedings{schutte2015interactive,
title = {Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation},
author = {Schutte, Klamer and Bouma, Henri and Schavemaker, John and Daniele, Laura and Sappelli, Maya and Koot, Gijs and Eendebak, Pieter and Azzopardi, George and Spitters, Martijn and de Boer, Maaike and others},
booktitle = {Content-Based Multimedia Indexing (CBMI), 2015 13th International Workshop on},
year = {2015},
organization = {IEEE},
pages = {1--4},
url = {files/Schutte_2015_CBMI_InteractiveDetectionIncrementallyLearned.pdf}
}
@inproceedings{BoumaCL2015,
title = {Incremental concept learning with few training examples and hierarchical classification
},
abstract = {Object recognition and localization are important to automatically interpret video and allow better querying on its content. We propose a method for object localization that learns incrementally and addresses four key aspects. Firstly, we show that for certain applications, recognition is feasible with only a few training samples. Secondly, we show that novel objects can be added incrementally without retraining existing objects, which is important for fast interaction. Thirdly, we show that an unbalanced number of positive training samples leads to biased classifier scores that can be corrected by modifying weights. Fourthly, we show that the detector performance can deteriorate due to hard-negative mining for similar or closely related classes (e.g., for Barbie and dress, because the doll is wearing a dress). This can be solved by our hierarchical classification. We introduce a new dataset, which we call TOSO, and use it to demonstrate the effectiveness of the proposed method for the localization and recognition of multiple objects in images.
},
author = {Bouma, Henri and Eendebak, Pieter T. and Schutte, Klamer and Azzopardi, George and Burghouts, Gertjan J.},
doi = {10.1117/12.2194438},
booktitle = {Proc. SPIE},
journal = {Proc. SPIE},
pages = {96520E-96520E-8},
urlx = { http://dx.doi.org/10.1117/12.2194438},
volume = {9652},
year = {2015},
url = {files/Bouma_2015_SPIE_IncrementalLearning.pdf}
}
@inproceedings{Bodycam2015,
title = {Video content analysis on body-worn cameras for retrospective investigation
},
abstract = {In the security domain, cameras are important to assess critical situations. Apart from fixed surveillance cameras we observe an increasing number of sensors on mobile platforms, such as drones, vehicles and persons. Mobile cameras allow rapid and local deployment, enabling many novel applications and effects, such as the reduction of violence between police and citizens. However, the increased use of bodycams also creates potential challenges. For example: how can end-users extract information from the abundance of video, how can the information be presented, and how can an officer retrieve information efficiently? Nevertheless, such video gives the opportunity to stimulate the professionals’ memory, and support complete and accurate reporting. In this paper, we show how video content analysis (VCA) can address these challenges and seize these opportunities. To this end, we focus on methods for creating a complete summary of the video, which allows quick retrieval of relevant fragments. The content analysis for summarization consists of several components, such as stabilization, scene selection, motion estimation, localization, pedestrian tracking and action recognition in the video from a bodycam. The different components and visual representations of summaries are presented for retrospective investigation.
},
author = {Bouma, Henri and Baan, Jan and ter Haar, Frank B. and Eendebak, Pieter T. and den Hollander, Richard J. M. and Burghouts, Gertjan J. and Wijn, Remco and van den Broek, Sebastiaan P. and van Rest, Jeroen H. C.},
doi = {10.1117/12.2194436},
booktitle = {Proc. SPIE},
journal = {Proc. SPIE},
pages = {96520I-96520I-16},
urlx = { http://dx.doi.org/10.1117/12.2194436},
volume = {9652},
year = {2015},
url = {files/Bouma_2015_SPIE_Bodycam.pdf}
}
@inproceedings{V1340,
title = {Vehicle tracking in wide area motion imagery from an airborne platform
},
abstract = {Airborne platforms, such as UAV’s, with Wide Area Motion Imagery (WAMI) sensors can cover multiple square kilometers and produce large amounts of video data. Analyzing all data for information need purposes becomes increasingly labor-intensive for an image analyst. Furthermore, the capacity of the datalink in operational areas may be inadequate to transfer all data to the ground station. Automatic detection and tracking of people and vehicles enables to send only the most relevant footage to the ground station and assists the image analysts in effective data searches. In this paper, we propose a method for detecting and tracking vehicles in high-resolution WAMI images from a moving airborne platform. For the vehicle detection we use a cascaded set of classifiers, using an Adaboost training algorithm on Haar features. This detector works on individual images and therefore does not depend on image motion stabilization. For the vehicle tracking we use a local template matching algorithm. This approach has two advantages. In the first place, it does not depend on image motion stabilization and it counters the inaccuracy of the GPS data that is embedded in the video data. In the second place, it can find matches when the vehicle detector would miss a certain detection. This results in long tracks even when the imagery is of low frame-rate. In order to minimize false detections, we also integrate height information from a 3D reconstruction that is created from the same images. By using the locations of buildings and roads, we are able to filter out false detections and increase the performance of the tracker. In this paper we show that the vehicle tracks can also be used to detect more complex events, such as traffic jams and fast moving vehicles. This enables the image analyst to do a faster and more effective search of the data.
},
author = {van Eekeren, Adam W. M. and van Huis, Jasper R. and Eendebak, Pieter T. and Baan, Jan},
doi = {10.1117/12.2196392},
booktitle = {Proc. SPIE},
journal = {Proc. SPIE},
pages = {96480I-96480I-9},
urlx = {http://dx.doi.org/10.1117/12.2196392},
volume = {9648},
year = {2015},
url = {files/VehicleTracking-SPIE2015.pdf}
}
@article{Alamyar201429,
title = {PE39: Use of 3D \{HD\} auxiliary monitor by bedside assistant results in shorter console-time and ischemia-time in robot-assisted laparoscopic partial tumor-nephrectomy },
author = {M. Alamyar and H. Bouma and W. Goossens and F. Wieringa and B. Kroon and P. Eendebak and C. Wijburg and G. Smits},
journal = {European Urology Supplements },
year = {2014},
note = {Abstracts of the 11th Meeting of the \{EAU\} Robotic Urology Section (ERUS), 17–19 September 2014, Amsterdam, The Netherlands },
number = {3},
pages = {29 - 30},
volume = {13},
doi = {http://dx.doi.org/10.1016/S1569-9056(14)50070-X},
issn = {1569-9056},
url = {http://www.sciencedirect.com/science/article/pii/S156990561450070X}
}
@inproceedings{Eendebak2014spie3,
author = {Jasper R. van Huis and Henri Bouma and Jan Baan and Gertjan J. Burghouts and Pieter T. Eendebak and Richard J.M. den Hollander and Judith Dijk and Jeroen H.C. van Rest},
title = {Track-based event recognition in a realistic crowded environment},
booktitle = {Proc. SPIE 9253},
year = {2014}
}
@inproceedings{Eendebak2014spie2,
author = {Henri Bouma and Jan Baan and Gertjan J. Burghouts and Pieter T. Eendebak and Jasper R. van Huis and Judith Dijk and Jeroen H.C. van Rest},
title = {Automatic detection of suspicious behavior of pickpockets with track-based features in a shopping mall},
booktitle = {Proc. SPIE 9253},
year = {2014},
url = {files/Bouma_2014_Pickpocket.pdf}
}
@inproceedings{Eendebak2014threats,
author = {Martijn Spitters and Pieter Eendebak and Daniel Worm and Henri Bouma},
booktitle = {IEEE Joint Intelligence and Security Informatics Conference JISIC},
title = {Threat detection in tweets with trigger patterns and contextual cues},
year = {2014},
url = {files/Spitters_2014_ThreatDetection.pdf}
}
@article{EendebakJMI2014,
author = {Wieringa, Fokko P. and Bouma, Henri and Eendebak, Pieter T. and van
Basten, Jean-Paul A. and Beerlage, Harrie P. and Smits, Geert A.
H. J. and Bos, Jelte E.},
title = {Improved depth perception with three-dimensional auxiliary display
and computer generated three-dimensional panoramic overviews in robot-assisted
laparoscopy},
journal = {Journal of Medical Imaging},
year = {2014},
volume = {1},
pages = {015001},
number = {1},
abstract = {Abstract. In comparison to open surgery, endoscopic surgery offers
impaired depth perception and narrower field-of-view. To improve
depth perception, the Da Vinci robot offers three-dimensional (3-D)
video on the console for the surgeon but not for assistants, although
both must collaborate. We improved the shared perception of the whole
surgical team by connecting live 3-D monitors to all three available
Da Vinci generations, probed user experience after two years by questionnaire,
and compared time measurements of a predefined complex interaction
task performed with a 3-D monitor versus two-dimensional. Additionally,
we investigated whether the complex mental task of reconstructing
a 3-D overview from an endoscopic video can be performed by a computer
and shared among users. During the study, 925 robot-assisted laparoscopic
procedures were performed in three hospitals, including prostatectomies,
cystectomies, and nephrectomies. Thirty-one users participated in
our questionnaire. Eighty-four percent preferred 3-D monitors and
100% reported spatial-perception improvement. All participating urologists
indicated quicker performance of tasks requiring delicate collaboration
(e.g., clip placement) when assistants used 3-D monitors. Eighteen
users participated in a timing experiment during a delicate cooperation
monitor. Computer-generated 3-D reconstructions from recordings offered
very wide interactive panoramas with educational value, although
the present embodiment is vulnerable to movement artifacts.},
doi = {10.1117/1.JMI.1.1.015001},
isbn = {2329-4302},
url = {files/Wieringa_2014_JMI_ImprovedDepthPerception.pdf},
urlx = { http://dx.doi.org/10.1117/1.JMI.1.1.015001}
}
@misc{EendebakDOF,
author = {P.T. Eendebak},
year = {2014},
title = {A canonical form for non-regular arrays based on generalized worldlength pattern values of delete-one-factor projections},
note = {Working paper University of Antwerp},
url2 = {http://www.pietereendebak.nl/oapage/index.html},
url = {files/Eendebak2014-delete-one-factor.pdf}
}
@misc{EendebakNCCV,
author = {Gertjan Burghouts and Pieter Thijs Eendebak and Henri Bouma and Johan-Martijn ten Hove},
year = {2014},
title = {Multi-view action recognition using bag-of-words and various fusion schemes},
note = {NCCV 2014},
url = {files/Burghouts_2014_NCCV_MultiviewAction.pdf}
}
@misc{EendebakTHUMOS,
author = {G.J. Burghouts and P.T. Eendebak and H. Bouma and R.J-M. ten Hove},
title = {Action recognition by layout, selective sampling and soft-assignment},
note = {ICCV Workshop on Action Recognition with Large Number of Classes},
abstract = {This paper describes the TNO action recognition system that was used to generate
the results for our submission to the competition track of the THUMOS'13 challenge at
ICCV'13. This system deploys only the STIP features that were provided on the website of
the challenge. A bag-offeatures model is extended with three novelties.},
year = {2013},
url = {files/Burghouts_ICCV2013_THUMOS_Action.pdf}
}
@inproceedings{EendebakTrecvid2013,
author = {Henri Bouma and George Azzopardi and Martijn Spitters and Joost de Wit and Corne Versloot and Remco van der Zon and Pieter Eendebak and Jan Baan and Johan-Martijn ten Hove and Adam van Eekeren and Frank ter Haar and Richard den Hollander and Jasper van Huis and Maaike de Boer and Gert van Antwerpen and Jeroen Broekhuijsen and Laura Daniele and Paul Brandt and John Schavemaker and Wessel Kraaij and Klamer Schutte},
title = {{TNO} at {TRECVID} 2013: multimedia event detection and instance search},
year = {2013},
booktitle = {Proc. {TRECVID}},
url = {files/TNOGoose_2013_TrecVid_MED_INS_footer.pdf}
}
@techreport{EendebakOApackage,
author = {P.T. Eendebak},
year = {2013},
title = {The {O}rthogonal {A}rray package},
url = {http://www.pietereendebak.nl/oapage/software.html}
}
@misc{Eendebak2001,
author = {Pieter Thijs Eendebak},
title = {The {B}orel-{W}eil Theorem},
school = {Utrecht University},
year = {2001},
url = {files/borel-weil.pdf}
}
@inproceedings{EendebakAVVS,
author = {Gertjan Burghouts and Pieter Eendebak and Henri Bouma and Johan-Martijn ten Hove},
title = {Improved action recognition by combining multiple 2{D} views in the bag-of-words model},
year = {2013},
booktitle = {IEEE Int. Conf. Advanced Video and Signal-based Surveillance AVSS},
note = {},
url = {files/Burghouts_2013_AVSS_ImprovedActionRecognition.pdf}
}
@inproceedings{Eendebak2013spie,
abstract = {We present a robust method for landing zone selection using obstacle
detection to be used for UAV emergency landings. The method is simple
enough to allow real-time implementation on a UAV system. The method
is able to detect objects in the presence of camera movement and
motion parallax. Using the detected obstacles we select a safe landing
zone for the UAV. The motion and structure detection uses background
estimation of stabilized video. The background variation is measured
and used to enhance the moving objects if necessary. In the motion
and structure map a distance transform is calculated to find a suitable
location for landing.},
author = {Eendebak, P. T. and van Eekeren, A. W. M. and den Hollander, R. J.
M.},
doi = {10.1117/12.2017910},
booktitle = {Proc. SPIE},
pages = {874105-874105-9},
title = {Landing spot selection for {UAV} emergency landing},
urlxx = { http://dx.doi.org/10.1117/12.2017910},
volume = {8741},
year = {2013},
url = {files/spie-eendebak-2013.pdf}
}
@inproceedings{Eendebak:SGM,
author = {Jan Bouwe {van den Berg} and Pieter Thijs Eendebak and Yves {van
Gennip} and Andriy Hlod and Simon {van Mourik} and Peter {in {'t}
Panhuis} and Mark Peletier and Vadim Shcherbakov and Erwin Vondenhoff},
title = {Catching gas with dropplets},
booktitle = {Proceedings of the 55th European Study Group Mathematics with Industry},
year = {2006},
address = {The Netherlands},
month = {February},
abstract = { The packaging industry wants to produce a foil for food packaging
purposes, which is transparent and lets very little oxygen pass.
To accomplish this they add a scavenger material to the foil which
reacts with the oxygen that diffuses through the foil. We model this
process by a system of partial differential equations: a reaction-diffusion
equation for the oxygen concentration and a reaction equation for
the scavenger concentration. A probabilistic background of this model
is given and different methods are used to get information from the
model. Homogenization theory is used to describe the influence of
the shape of the scavenger droplets on the oxygen flux, an argument
using the Fourier number of the foil leads to insight into the dependency
on the position of the scavenger and a method via conformal mappings
is proposed to find out more about the role of the size of the droplet.
Also simulations with Mathematica were done, leading to comparisons
between different placements and shapes of the scavenger material
in one- and two-dimensional foils.},
school = {Eindhoven University},
subtitle = {Modelling and simulation of a diffusion-reaction process}
}
@inproceedings{BoumaEendebak2012,
author = {Henri Bouma and Wannes van der Mark and Pieter T. Eendebak and Sander
H. Landsmeer and Adam W.M. van Eekeren and Frank B. ter Haar and
F. Pieter Wieringa and Jean-Paul van Basten},
title = {Streaming video-based {3D} reconstruction method compatible with
existing monoscopic and stereoscopic endoscopy systems},
booktitle = {Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 837112},
year = {2012},
owner = {eendebakpt},
doi = {10.1117/12.918592},
urlx = {files/Bouma_2012_SPIE_Endo3D.pdf}
}
@inproceedings{SSCTNO,
author = {E. B. Bovenkamp and P. T. Eendebak and R. J. Munster and J. H. C.
Rest},
title = {Sensors and tracking crossing borders},
booktitle = {4th Safety and Security Systems Conference},
year = {2009},
owner = {eendebakpt},
timestamp = {2009.04.07},
url = {files/TNO-Sensors_and_Tracking_crossing_borders.pdf}
}
@misc{vdFP,
title = {{vdFP} -- {V}ideo {F}ingerprinting {T}echnologies for
{M}edia and {S}ecurity {A}pplications},
author = {John Schavemaker and Peter Jan Doets and Werner Bailer and Harald Stiegler and Felix Lee and Helmut Neuschmied and Wessel Kraaij and Paul Brandt and Pieter Eendebak and Elena
Ranguelova and Andy Thean},
year = {2010},
url = {files/schavemaker-2010-vdFP.pdf}
}
@misc{EendebakTRECVID,
author = {Peter Jan Doets and Pieter Eendebak and Elena Ranguelova and Wessel
Kraaij},
title = {{TNO} at {TRECVID2008}},
year = {2008},
abstract = {{TNO} has evaluated a baseline audio and a video fingerprinting system
based on robust hashing for the TRECVID 2008 copy detection task.
We participated in the audio, the video and the combined audio-video
copy detection task. The audio fingerprinting implementation clearly
outperformed the video fingerprinting implementation. We combined
the audio fingerprinting results with the video fingerprint result,
both from the TNO run, and from the submitted video run with the
strongest correlation in the results.},
school = {Netherlands Organisation for Applied Scientific Research (TNO)},
subtitle = {Combining Audio and Video Fingerprinting for Robust Copy Detection}
}
@article{Eendebak2008,
author = {Pieter Thijs Eendebak},
title = {Hyperbolic surfaces in the {G}rassmannian},
journal = {Differential Geometry and its Applications},
year = {2008},
volume = {26},
pages = {600--612},
abstract = {In this article we study real 2-dimensional surfaces in the Grassmannian
of 2-planes in a 4-dimensional vector space. These surfaces occur
naturally as the fibers of jet bundles of partial differential equations.
On the Grassmannian there is an invariant conformal quadratic form
and we will use the structure induced by this quadratic form to study
the surfaces. We give a topological classification of compact hyperbolic
surfaces similar to the classification by Gluck and Warner [Duke
Math. J. 50 (1) (1983)] of compact elliptic surfaces. In contrast
with elliptic surfaces there are several topological possibilities
for hyperbolic surfaces. We make a calculation of the differential
invariants under the action of the group of conformal isometries.
Finally, we analyze a class of surfaces called geometrically flat
and show that within this class there exist many examples of non-trivial
compact surfaces.},
doi = {doi:10.1016/j.difgeo.2008.04.018},
issue = {6},
url = {files/hyperbolic-surfaces.pdf}
}
@inproceedings{EendebakCBP,
author = {Pieter Thijs Eendebak},
title = {Interest points and Invariant descriptors},
booktitle = {Special Course on Image Processing},
year = {2008},
month = {April},
school = {{TNO}}
}
@misc{eendebak-2007,
author = {Pieter Thijs Eendebak},
title = {Tangential symmetries of {D}arboux integrable systems},
year = {2007},
abstract = {In this paper we analyze the tangential symmetries of Darboux integrable
decomposable exterior differential systems. The decomposable systems
generalize the notion of a hyperbolic exterior differential system
and include the classic notion of Darboux integrability for first
order systems and second order scalar equations. For Darboux integrable
systems the general solution can be found by integration (solving
ordinary differential equations). We show that this property holds
for our generalized systems as well. We give a geometric construction
of the Lie algebras of tangential symmetries associated to the Darboux
integrable systems. This construction has the advantage over previous
constructions that our construction does not require the use of adapted
coordinates and works for arbitrary dimension of the underlying manifold.
In particular it works for the prolongations of decomposable exterior
differential systems.},
school = {Department of Mathematics, Utrecht University},
url = {http://arxiv.org/abs/0712.3937v1}
}
@phdthesis{Eendebak2006,
author = {Pieter Thijs Eendebak},
title = {Contact Structures of Partial Differential Equations},
school = {Utrecht University},
year = {2006},
month = {December},
isbn = {978-90-393-4435-4},
pages = {xiv+293},
url = {http://www.pietereendebak.nl/contact-structures/}
}
@mastersthesis{Eendebak2002,
author = {Pieter Thijs Eendebak},
title = {On Geometric Partial Differential Equations and Contact Transformations},
school = {Utrecht University},
year = {2002},
ptenote = {Master's thesis},
url = {files/thesis-contact-transformations.pdf}
}
@inproceedings{EendebakNEM,
author = {Pieter Thijs Eendebak and Wessel Kraaij and Stephan Raaijmakers and
Elena Ranguelova and Ork {de Rooij} and Andy Thean and Marcel Worring},
title = {Visual tools for assisting child pornography investigators},
booktitle = {Proceedings of NEM Summit 2008},
year = {2008},
address = {St. Malo, France},
month = {October},
url = {files/TNO-UVA-NEM-Summit-2008.pdf}
}
@inproceedings{Eendebak2010,
author = {Halma, Arvid and ter Haar, Frank and Bovenkamp, Ernst and Eendebak,
Pieter and van Eekeren, Adam},
title = {Single spin image-ICP matching for efficient 3D object recognition},
booktitle = {Proceedings of the ACM workshop on 3D object retrieval},
year = {2010},
series = {3DOR '10},
pages = {21--26},
address = {New York, NY, USA},
publisher = {ACM},
acmid = {1877814},
doi = {http://doi.acm.org/10.1145/1877808.1877814},
isbn = {978-1-4503-0160-2},
keywords = {3D object recognition, iterative closest point, spin image},
location = {Firenze, Italy},
numpages = {6},
url = {files/spin-icp.pdf},
urlx = {http://doi.acm.org/10.1145/1877808.1877814}
}
@article{HeemskerkEendebak2012,
title = {Introducing artificial depth cues to improve task performance in {ITER} maintenance actions},
journal = {Fusion Engineering and Design},
volume = {},
number = {0},
pages = { - },
year = {2013},
note = {[\href{files/Poster_Heemskerk_SOFT2012.pdf}{poster}]},
urlx = {files/Poster_Heemskerk_SOFT2012.pdf},
issn = {0920-3796},
doi = {10.1016/j.fusengdes.2013.02.034},
url = {http://www.sciencedirect.com/science/article/pii/S0920379613001488},
urlx = {files/Eendebak2012remotehandling.pdf},
author = {C.J.M. Heemskerk and P.T. Eendebak and G.Y.R. Schropp and H.V. Hermes and B.S.Q. Elzendoorn and A.J. Magielsen},
keywords = {Maintenance},
keywords = {ITER},
keywords = {Remote handling},
keywords = {Task performance},
keywords = {Depth perception},
keywords = {Experimental procedure}
}
@misc{Eendebak2011trecvid,
author = {John Schavemaker and Pieter Eendebak and Mark van Staalduinen and
Wessel Kraaij},
title = {{TNO} instance search submission 2011},
year = {2011},
school = {Vol. 1 Notebook Papers, {TRECVID} 2011 Workshop, December 5-7 2011,
{NIST}, {G}aithersburg, MD, {USA}}
}
@article{Eendebak2009,
author = {Schoen, Eric D. and Eendebak, Pieter T. and Nguyen, Man V. M.},
title = {Complete enumeration of pure-level and mixed-level orthogonal arrays},
journal = {Journal of Combinatorial Designs},
year = {2010},
volume = {18},
pages = {123--140},
number = {2},
note = {[\href{files/lr_Orthogonal_poster_TNO.pdf}{poster}]},
doi = {10.1002/jcd.20236},
issn = {1520-6610},
keywords = {experimental design, isomorphism, asymmetric array, symmetric array},
publisher = {Wiley Subscription Services, Inc., A Wiley Company},
url = {files/JCDarticleR2.pdf},
urlx = {http://dx.doi.org/10.1002/jcd.20236}
}