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@comment{{Command line: bib2bib --remove owner --remove authordip --remove typepublication --remove nationality -s $date -r -c 'year = 1998' -c 'author : "Baldoni" or editor : "Baldoni"' -ob Baldoni-1998.bib -oc Baldoni-1998.txt bibliography.bib}}
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@inproceedings{BGMP98-TIPO_W,
author = {Baldoni, M. and Giordano, L. and Martelli, A. and Patti, V.},
title = {{A} {M}odal {P}rogramming {L}anguage for {R}epresenting {C}omplex
{A}ctions},
booktitle = {Proc. 1998 JICSLP'98 Post-Conference Workshop on Transactions and
Change in Logic Databases, DYNAMICS'98},
year = {1998},
editor = {Bonner, A. and Freitag, B. and Giordano, L.},
pages = {1--15},
address = {Manchester, UK},
month = {June},
note = {Technical Report MPI-9808},
keywords = {logic_programming, languages},
numberpages = {15},
pdf = {http://www.di.unito.it/~argo/papers/1998_DYNAMICS.pdf},
postscript = {http://www.di.unito.it/\~{}argo/papers/1998_DYNAMICS.ps.gz}
}
@phdthesis{Baldoni-TIPO_PhDThesis,
author = {Baldoni, M.},
title = {{N}ormal {M}ultimodal {L}ogics: {A}utomatic {D}eduction and {L}ogic
{P}rogramming {E}xtension},
school = {Dipartimento di Informatica, Universit\`a degli Studi di Torino},
year = {1998},
address = {Italy},
keywords = {PHD_thesis, logic_programming, reasoning},
numberpages = {209},
postscript = {http://www.di.unito.it/\~{}baldoni/tesi/tesi.ps.gz}
}
@inproceedings{BGM98-TIPO_LN,
author = {Baldoni, M. and Giordano, L. and Martelli, A.},
title = {{A} {T}ableau {C}alculus for {M}ultimodal {L}ogics and some {(Un)D}ecidability
{R}esults},
booktitle = {Proc. of the International Conference on Analytic Tableaux Related
Methods, TABLEAUX'98},
year = {1998},
editor = {{de~Swart}, H.},
volume = {1397},
series = {LNAI},
pages = {44--59},
publisher = {Springer-Verlag},
isbn = {3-540-64406-7},
issn = {0302-9743},
doi = {10.1007/3-540-69778-0_1},
keywords = {logic, tableau},
numberpages = {16},
pdf = {http://www.di.unito.it/~argo/papers/LNCS/lncs_1397.pdf},
postscript = {http://www.di.unito.it/\~{}argo/papers/1998_TABLEAUX.ps.gz},
url = {http://www.springer.de/cgi/svcat/search_book.pl?isbn=4-540-64406-7}
}
@article{BGM98-JLC-TIPO_J,
author = {Baldoni, M. and Giordano, L. and Martelli, A.},
title = {{A} {M}odal {E}xtention of {L}ogic {P}rogramming: {M}odularity, {B}eliefs
and {H}ypothetical {R}easoning},
journal = {Journal of Logic and Computation},
year = {1998},
volume = {8},
pages = {597-635},
number = {5},
issn = {0955-792X},
keywords = {logic_programming},
numberpages = {39},
pdf = {http://www.di.unito.it/~argo/papers/1998_JLC.pdf},
postscript = {http://www.di.unito.it/\~{}argo/papers/1998_JLC.ps.gz}
}
@inproceedings{BBC98-TIPO_LN,
author = {Baldoni, M. and Baroglio, C. and Cavagnino, D.},
title = {{XFF}: a simple method to e{X}tract {F}ractal {F}eatures for {2D}
object recognition},
booktitle = {Adavances in Pattern Recognition. Joint IAPR International Workshops,
SSPR'98 and SPR'98},
year = {1998},
editor = {Amin, A. and Dori, D. and Pudil, P. and Freeman, H.},
volume = {1451},
series = {LNCS},
pages = {382--389},
publisher = {Springer-Verlag},
isbn = {3-540-64858-5},
issn = {0302-9743},
doi = {10.1007/BFb0033257},
keywords = {IFS, image_recognition, XFF},
numberpages = {8},
pdf = {http://www.di.unito.it/~argo/papers/1998_SSPR.pdf}
}
@inproceedings{BBCE98-TIPO_IC,
author = {Baldoni, M. and Baroglio, C. and Cavagnino, D. and Egidi, L.},
title = {Learning to {C}lassify {I}mages by means of {I}terated {F}unction
{S}ystems},
booktitle = {Fractals and Beyond: Complexities in the Sciences, Proc. of the 5th
International Multidisciplinary Conference, FRACTAL'98},
year = {1998},
editor = {Novak, M. M.},
pages = {173--182},
publisher = {World Scientific},
abstract = {The full automation of object visual recognition is a hard and computationally
expensive task, mainly for two reasons: on one hand, it is difficult
to extract the necessary distinctive information from the raw data,
while, on the other, the obtained representations must have characteristics
that make them apt to training adaptive classifiers to perform the
recognition task of interest. In this paper we present a new method
for representing 2-D images, based on the extraction of a set of
{\em fractal features}, which exploits the approximation of an image
with an {\em Iterated Function System}, a technique that is already
at the basis of many successful image compression tools. In particular,
we show that such features have a high discriminatory power, can
be easily extracted in an automatic way from the raw data and can
effectively be used to train adaptive classifiers to discriminate
between different kinds of objects.},
isbn = {981-02-3593-3},
keywords = {IFS, image_recognition},
numberpages = {10},
pdf = {http://www.di.unito.it/~argo/papers/1998_FRACTAL.pdf},
postscript = {http://www.di.unito.it/\~{}argo/papers/1998_FRACTAL.ps},
url = {http://www.wspc.com/books/general/3895.html}
}
@inproceedings{BBCS98-TIPO_W,
author = {Baldoni, M. and Baroglio, C. and Cavagnino, D. and Saitta, L.},
title = {{IFS}-based feature extraction for learning to classify objects},
booktitle = {Proc. of the Workshop: Artificial Intelligence and Pattern Recognition
Techniques for Computer Vision, IAPRVA'98},
year = {1998},
editor = {Cucchiara, R. and Piccardi, M.},
pages = {9--14},
address = {Ferrara, Italy},
keywords = {IFS, image_recognition},
numberpages = {6},
pdf = {http://www.di.unito.it/~argo/papers/1998_IAPRVA.pdf},
postscript = {http://www.di.unito.it/\~{}argo/papers/1998_IAPRVA.ps}
}
@incollection{Baldoni-Kluwer98-TIPO_IB,
author = {Baldoni, M. and Baroglio, C. and Cavagnino, D. and Saitta, L.},
title = {{T}owards {A}utomatic {F}ractal {F}eature {E}xtraction for {I}mage
{R}ecognition},
booktitle = {Feature Extraction, Construction and Selection: a Data Mining Perspective},
publisher = {Kluwer Academic Publisher},
year = {1998},
editor = {Liu, H. and Motoda, H.},
pages = {357-373},
abstract = {Fractal encoding based on {\em Iterated Function Systems} is a well-known
method which is currently exploited mainly for image compression
tasks. The reason is that it allows to produce very compact encodings
without any meaningful loss of precision. In this work, we present
the results of a study aimed at showing that, within the field of
image analysis, it is possible to use fractal encodings based on
Iterated Function Systems also to extract information that is relevant
in object recognition tasks. In particular, we propose a new kind
of features, called {\em fractal features}, to be used jointly with
machine learning techniques in isolated 2D image recognition tasks
and show that it is possible to extract them in an automatic way.},
isbn = {0-7923-8196-3},
keywords = {IFS, image_recognition},
numberpages = {17},
pdf = {http://www.di.unito.it/~argo/papers/1998_FECSDMP.pdf}
}
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