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cosyBib2008.bib
@PHDTHESIS{fritz08phd,
TITLE = {Modeling, Representing and Learning of Visual Categories},
AUTHOR = {Mario Fritz},
YEAR = {2008},
MONTH = {August},
SCHOOL = {Technische Universit\"at Darmstadt},
ADDRESS = {Darmstadt, Germany}
}
@INPROCEEDINGS{Brenner/Kruijff:2008,
AUTHOR = {Brenner, M. and Kruijff-Korbayov\'a, I.},
TITLE = {A Continual Multiagent Planning Approach to Situated Dialogue},
BOOKTITLE = {Proceedings of the LONDIAL (The 12th SEMDIAL Workshop on Semantics
and Pragmatics of Dialogue)},
YEAR = {2008},
ADDRESS = {London, United Kingdom},
MONTH = {June}
}
@INPROCEEDINGS{Frintrop08a,
AUTHOR = {Simone Frintrop and Patric Jensfelt},
TITLE = {Active Gaze Control for Attentional Visual {SLAM}},
BOOKTITLE = {Proc.~of the IEEE International Conference on Robotics and Automation
(ICRA'08)},
YEAR = {2008}
}
@INPROCEEDINGS{Frintrop08b,
AUTHOR = {Simone Frintrop and Patric Jensfelt},
TITLE = {Attentional Landmarks and Active Gaze Control for Visual {SLAM}},
BOOKTITLE = {IEEE Transactions on Robotics, special Issue on Visual {SLAM}},
YEAR = {2008},
NOTE = {accepted}
}
@INPROCEEDINGS{Jacobsson/etal:2008,
AUTHOR = {Jacobsson, H. and Hawes, N.A. and Kruijff, G.J.M. and Wyatt, J.},
TITLE = {Crossmodal Content Binding in Information-Processing Architectures},
BOOKTITLE = {Proceedings of the 3rd ACM/IEEE International Conference on Human-Robot
Interaction (HRI)},
YEAR = {2008},
ADDRESS = {Amsterdam, The Netherlands},
MONTH = {March}
}
@INPROCEEDINGS{kristanCVWW08,
AUTHOR = {M. Kristan and D. Sko\v{c}aj and A. Leonardis},
TITLE = {Incremental learning with {G}aussian mixture models},
BOOKTITLE = {Computer Vision Winter Workshop CVWW 2008},
YEAR = {2008},
PAGES = {25-32},
ADDRESS = {Moravske toplice, Slovenia},
MONTH = {February},
ABSTRACT = {In this paper we propose a new incremental estimation of Gaussian
mixture models which can be used for applications of online learning.
Our approach allows for adding new samples incrementally as well
as removing parts of the mixture by the process of unlearning. Low
complexity of the mixtures is maintained through a novel compression
algorithm. In contrast to the existing approaches, our approach does
not require fine-tuning parameters for a specific application, we
do not assume specific forms of the target distributions and temporal
constraints are not assumed on the observed data. The strength of
the proposed approach is demonstrated with an example of online estimation
of a complex distribution, an example of unlearning, and with an
interactive learning of basic visual concepts.},
OWNER = {danijels kristan vicos cosy rpcv DSSP2},
TIMESTAMP = {2008.02.04},
URL = {http://vicos.fri.uni-lj.si/data/publications/kristanCVWW08.pdf}
}
@INPROCEEDINGS{Kruijff/etal:2008,
AUTHOR = {G.J.M. Kruijff and M. Brenner and N.A. Hawes},
TITLE = {Continual Planning for Cross-Modal Situated Clarification in Human-Robot
Interaction},
BOOKTITLE = {Proceedings of the 17th International Symposium on Robot and Human
Interactive Communication (RO-MAN 2008)},
YEAR = {2008},
ADDRESS = {Munich, Germany},
MONTH = {August}
}
@BOOK{Kruijff/etal:2008-ICRA,
TITLE = {Proceedings of the ICRA 2008 Workshop: Social Interaction with Intelligent
Indoor Robots (SI3R)},
PUBLISHER = {ICRA},
YEAR = {2008},
AUTHOR = {G.J.M. Kruijff and H. Zender and M. Hanheide and B. Wrede},
ADDRESS = {Pasadena, CA, USA},
MONTH = {May}
}
@INPROCEEDINGS{Galvez08a,
AUTHOR = {Dorian G\'alvez L\'opez and Kristoffer Sj\"{o} and Chandana Paul
and Patric Jensfelt},
TITLE = {Hybrid Laser and Vision Based Object Search and Localization},
BOOKTITLE = {Proc.~of the IEEE International Conference on Robotics and Automation
(ICRA'08)},
YEAR = {2008}
}
@INPROCEEDINGS{Lison:2008,
AUTHOR = {P. Lison},
TITLE = {A salience-driven approach to speech recognition for human-robot
interaction},
BOOKTITLE = {Proceedings of the ESSLLI 2008 Student Session},
YEAR = {2008},
ADDRESS = {Hamburg, Germany},
MONTH = {August}
}
@INPROCEEDINGS{Lison/Kruijff:2008,
AUTHOR = {P. Lison and G.J.M. Kruijff.},
TITLE = {Salience-driven Contextual Priming of Speech Recognition for Human-Robot
Interaction},
BOOKTITLE = {Proceedings of ECAI 2008},
YEAR = {2008},
ADDRESS = {Athens, Greece},
MONTH = {July}
}
@PHDTHESIS{mozos2008phd,
AUTHOR = {Oscar Martinez Mozos},
TITLE = {Semantic Place Labeling with Mobile Robots},
SCHOOL = {University of Freiburg},
YEAR = {2008},
ADDRESS = {Freiburg, Germany},
MONTH = {July},
PDF = {http://www.informatik.uni-freiburg.de/~omartine/publications/phd_thesis.pdf}
}
@INPROCEEDINGS{pronobis08icra,
AUTHOR = {Pronobis, A. and Mart\'{i}nez Mozos, O. and Caputo, B.},
TITLE = {{SVM}-based Discriminative Accumulation Scheme for Place Recognition},
BOOKTITLE = {Proceedings of the IEEE International Conference on Robotics and
Automation (ICRA08)},
YEAR = {2008},
ADDRESS = {Pasadena, CA, USA},
MONTH = {May},
URL = {http://www.csc.kth.se/~pronobis/research/pronobis08icra/pronobis08icra.pdf}
}
@INPROCEEDINGS{ridgeCogSys08,
AUTHOR = {B. Ridge and D. Sko\v{c}aj, and A. Leonardis},
TITLE = {A System for Learning Basic Object Affordances using a Self-Organizing
Map},
BOOKTITLE = {International Conference on Cognitive Systems CogSys 2008},
YEAR = {2008},
ADDRESS = {Karlsruhe, Germany},
ABSTRACT = {When a cognitive system encounters particular objects, it needs to
know what effect each of its possible actions will have on the state
of each of those objects in order to be able to make effective decisions
and achieve its goals. Moreover, it should be able to generalize
effectively so that when it encounters novel objects, it is able
to estimate what effect its actions will have on them based on its
experiences with previously encountered similar objects. This idea
is encapsulated by the term “affordance”, e.g. “a ball affords being
rolled to the right when pushed from the left.” In this paper, we
discuss the development of a cognitive vision platform that uses
a robotic arm to interact with household objects in an attempt to
learn some of their basic affordance properties. We outline the various
sensor and effector module competencies that were needed to achieve
this and describe an experiment that uses a self-organizing map to
integrate these modalities in a working affordance learning system.},
OWNER = {danijels ridge vicos cosy visiontrain DSSP3},
TIMESTAMP = {2008.03.26},
URL = {http://vicos.fri.uni-lj.si/data/publications/ridgeCogSys08.pdf}
}
@ARTICLE{Sjoe08a,
AUTHOR = {Kristoffer Sj\"o and Dorian G\'alvez L\'opez and Chandana Paul and
Patric Jensfelt and Danica Kragic},
TITLE = {Object Search and Localization for an Indoor Mobile Robot},
JOURNAL = {Journal of Computing and Information Technology},
YEAR = {2008},
NOTE = {accepted}
}
@ARTICLE{Sjoe08b,
AUTHOR = {Kristoffer Sj\"o and Chandana Paul},
TITLE = {Object Localization using Bearing Only Visual Detection},
JOURNAL = {Proc.~of the 10th International Conference on Intelligent Autonomous
Systems},
YEAR = {2008},
MONTH = {july}
}
@INPROCEEDINGS{skocajVISAPP08,
AUTHOR = {D. Sko\v{c}aj and M. Kristan and A. Leonardis},
TITLE = {Continuous Learning of Simple Visual Concepts Using Incremental Kernel
Density Estimation},
BOOKTITLE = {International Conference on Computer Vision Theory and Applications},
YEAR = {2008},
PAGES = {598-604},
ADDRESS = {Funchal, Madeira, Portugal},
MONTH = {January},
ABSTRACT = {In this paper we propose a method for continuous learning of simple
visual concepts. The method continuously associates words describing
observed scenes with automatically extracted visual features. Since
in our setting every sample is labelled with multiple concept labels,
and there are no negative examples, reconstructive representations
of the incoming data are used. The associated features are modelled
with kernel density probability distribution estimates, which are
built incrementally. The proposed approach is applied to the learning
of object properties and spatial relations.},
OWNER = {danijels vicos cosy rscv DSSP2},
TIMESTAMP = {2008.01.10},
URL = {http://vicos.fri.uni-lj.si/data/publications/skocajVISAPP08.pdf}
}
@ARTICLE{skocajIMAVIS08,
AUTHOR = {D. Sko\v{c}aj and A. Leonardis},
TITLE = {Incremental and robust learning of subspace representations},
JOURNAL = {Image vis. comput.},
YEAR = {2008},
VOLUME = {26},
PAGES = {27-38},
NUMBER = {1},
ABSTRACT = {Learning is a fundamental capability of any cognitive system. To enable
efficient operation of a cognitive agent in a real-world environment,
visual learning has to be a continuous and robust process. In this
article, we present a method for subspace learning, which takes these
considerations into account. We present an incremental method, which
sequentially updates the principal subspace considering weighted
influence of individual images as well as individual pixels within
an image. We further extend this approach to enable determination
of consistencies in the input data and imputation of the inconsistent
values using the previously acquired knowledge, resulting in a novel
method for incremental, weighted, and robust subspace learning. We
demonstrate the effectiveness of the proposed concept in several
experiments on learning of object and background representations.},
OWNER = {danijels vicos cosy mobvis rpcv DSSP1},
TIMESTAMP = {2008.01.01},
URL = {http://vicos.fri.uni-lj.si/data/publications/skocajIMAVIS08.pdf}
}
@ARTICLE{Stachniss2008,
AUTHOR = {C. Stachniss and O. Martinez Mozos and W. Burgard},
TITLE = {Efficient Exploration of Unknown Indoor Environments using a Team
of Mobile Robots},
JOURNAL = {Annals of Mathematics and Artificial Intelligence},
YEAR = {2008},
VOLUME = {accepted},
OWNER = {Matej Kristan},
TIMESTAMP = {2008.08.25}
}
@BOOK{Thomaz/etal:2008-RSS,
TITLE = {Interactive Robot Learning - RSS 2008 workshop},
YEAR = {2008},
AUTHOR = {A. Lockerd Thomaz and G.J.M. Kruijff and H. Jacobssonn and D. Skocaj},
ADDRESS = {Zurich, Switzerland},
MONTH = {June}
}
@INBOOK{Triebel2008,
CHAPTER = {Studies in Classification, Data Analysis, and Knowledge Organization},
PAGES = {293-300},
TITLE = {Relational Learning in Mobile Robotics: An Application to Semantic
Labeling of Objects in 2D and 3D Environment Maps},
PUBLISHER = {Springer-Verlag},
YEAR = {2008},
AUTHOR = {R. Triebel and O. Mozos and W. Burgard},
OWNER = {Matej Kristan},
TIMESTAMP = {2008.08.25}
}
@INPROCEEDINGS{Ullah08a,
AUTHOR = {M. Ullah and A. Pronobis and B. Caputo and P. Jensfelt and H. Christensen},
TITLE = {Towards Robust Place Recognition for Robot Localization},
BOOKTITLE = {Proc.~of the IEEE International Conference on Robotics and Automation
(ICRA'08)},
YEAR = {2008}
}
@ARTICLE{Zender/etal:2008,
AUTHOR = {H. Zender and O. Mart\'{\i}nez Mozos and P. Jensfelt and G.J.M. Kruijff
and W. Burgard},
TITLE = {Conceptual Spatial Representations for Indoor Mobile Robots},
JOURNAL = {Robotics and Autonomous Systems},
YEAR = {2008},
VOLUME = {56},
NUMBER = {6},
MONTH = {June},
NOTE = {Special Issue "From Sensors to Human Spatial Concepts"}
}
@PROCEEDINGS{si3r-icra-proc:2008,
TITLE = {Proceedings of the ICRA 2008 Workshop: Social Interaction with Intelligent
Indoor Robots (SI3R)},
YEAR = {2008},
EDITOR = {Geert-Jan M. Kruijff and Hendrik Zender and Marc Hanheide and Britta
Wrede},
ADDRESS = {Pasadena, CA, USA},
MONTH = {May}
}
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