2016

ijrr-2016 Clinical parameter effect on the capability to control myoelectric robotic prosthetic hands. M.Atzori, A. Gijsberts, C. Castellini, B. Caputo, A.­G. Mittaz Hager, S. Elsig, G. Glatsidis, F.Bassetto, H. Muller. Journal of Rehbilitation Research and Development, to appear. [pdf]
[bibtex]
prova
cnnNbnn When Convolutional Neural Networks meet Naive Bayes Nearest Neighbor. I. Kuzborskij, F.M. Carlucci, B. Caputo. Proc. CVPR 2016. [pdf]

[bibtex]
@inProceedings{Kuzborskij_CVPR_2016,
author = {Ilja Kuzborskij and Fabio Maria Carlucci and Barbara Caputo},
title = {When Na{\”{\i}}ve Bayes Nearest Neighbours Meet Convolutional Neural Networks},
booktitle = {Computer Vision and Pattern Recognition (CVPR)},year = {2016}}

2015

gcpr15 A deeper look at dataset bias. T. Tommasi, N. Patricia. B. Caputo, T. Tuytelaars. Proc.GCPR 2015. [pdf]

[bibtex]
@inProceedings{bb82571,
AUTHOR = “Tommasi, T. and Patricia, N. and Caputo, B. and Tuytelaars, T.”,
TITLE = “A Deeper Look at Dataset Bias”,
BOOKTITLE = GCPR15, YEAR = “2015”, PAGES = “504-516”}
scientific-data2015 Electromyography data for non­invasive naturally­ controlled robotic hand prostheses. M. Atzori, A. Gijsberts, C. Castellini, B. Caputo, A.­G. Mittaz Hager, S. Elsig, G. Giatsidis, F.Bassetto, H. Müller. Nature Scientific Data, 1, 2015.[pdf] 

[bibtex]
prova
Martinez-Magazine-2015 The Robot Vision Challenge. Where are we after 5 editions? J. Martinez Gomez, B. Caputo, M. Cazorla, H. I. Christensen, M. Fornoni, I. García­Varea, A. Pronobis. IEEE Robotics and Automation Magazine, 22 (4), 147-156, 2015. [pdf]

[bibtex]
prova
 iciap-kuzborskij2015 Transfer Learning through Greedy Subset Selection. I. Kuzborskij, B. Caputo, F. Orabona. Proceedings of the 18th International Conference on Image Analysis and Processing, 2015.  [pdf]

[bibtex]
@inProceedings{bb82824, AUTHOR = “Kuzborskij, I. and Orabona, F. and Caputo, B.”,
TITLE = “Transfer Learning Through Greedy Subset Selection”,
BOOKTITLE = ICIAP15,
YEAR = “2015”, PAGES = “I:3-14”}
ICIAP2015-FSaedaan Towards Learning free Naive Bayes Nearest Neighbor­ based Domain Adaptation. F. Saeedan, B. Caputo. Proceedings of the 18th International Conference on Image Analysis and Processing, 2015. [pdf]

[bibtex]
inproceedings{bb86208,
AUTHOR = “Saeedan, F. and Caputo, B.”,
TITLE = “Towards Learning Free Naive Bayes Nearest Neighbor-Based Domain Adaptation”,
BOOKTITLE = ICIAP15,
YEAR = “2015”,
PAGES = “II:320-331”}
arjan2015 Characterization of a Benchmark Database for Myoelectric Movement Classification. M. Atzori, A. Gijsberts, I. Kuzborskij, S. Heynen, A.­G. Mittaz Hager, O. Deriaz, C. Castellini, H.Muller, and B. Caputo. IEEE Transaction on Neural Systems and Rehabilitation Engineering,23 (1), 73­83, 2015. [pdf]

[bibtex]
prova

2014

Atzori-TNSRE-2015 Multi­source Adaptive Learning for Fast Control of Prosthetics Hand. N. Patricia, T. Tommasi, B. Caputo. Proceedings of the IEEE International Conference on Pattern Recognition, 2014.  [pdf]

[bibtex]
prova
icpr-2014-fornoni Scene recognition with naive Bayes non­linear learning. M. Fornoni, B. Caputo. Proceedings of the IEEE International Conference on Pattern Recognition, 2014.  [pdf]

[bibtex]
prova
cvpr-2014 Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective. N.Patricia, B. Caputo. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR14).  [pdf]

[bibtex]
prova
embc_2014-1 Classification of hand movements in amputated subjects by sEMG and accelerometers. M.Atzori, A. Gijsberts, H. Muller, B. Caputo. Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. [pdf]

[bibtex]
prova
embc_2014-2 Natural control capabilities of robotic hands by hand amputated subjects. M. Atzori, A.Gijsberts, B. Caputo, H. Muller. Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. [pdf]

[bibtex]
prova
Imageclef-overview-2014 Image CLEF 2014: Overview and analysis of the results. B. Caputo, H. Müller, J. Martinez-Gomez, M. Villegas, B. Acar, N. Patricia, N. Marvasti, S. Üsküdarlı, R. Paredes, M. Cazorla, I. Garcia­Varea, V. Morell. Information Access Evaluation. Multilinguality, Multimodality, and Interaction, Springer International Publishing, 2014.  [pdf]

[bibtex]
prova
pami-2014 Learning Categories from Few Examples with Multi Model Knowledge Transfer. T. Tommasi, F. Orabona, B. Caputo. IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear, 2014. [pdf]

[bibtex]
prova
tnsre-movement-error-rate-2014 Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-­based Hand Movement Classification. A. Gijsberts, M. Atzori, C. Castellini, H. Muller, B. Caputo. IEEE Transactions on Neural Systems and Rehabilitation Engineering, special issue, accepted for publication, 2014. [pdf]

[bibtex]
prova
frontiers_2014 Stable Myoelectric Control of a Hand Prosthesis using Non­Linear Incremental Learning. A. Gijsberts, R. Bohra, D. S. González, A. Werner, M. Nowak, B. Caputo, M. A. Roa, C. Castellini. Frontiers in Neurobotics, accepted for publication, 2014.  [pdf]

[bibtex]
prova
frontiers-proceedings-2014 Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography. C. Castellini, P. Artemiadis, M. Wininger, A. Ajoudani, M. Alimusaj, A. Bicchi, B. Caputo, W. Craelius, S. Dosen, K. Englehart, D. Farina, A. Gijsberts, S. B Godfrey, L. Hargrove, M. Ison, T. Kuiken, M. Markovi?, P. M Pilarski, R. Rupp, E. Scheme. Frontiers in Neurorobotics, 8, 2014. [pdf]

[bibtex]
prova

2013

iccv-2013 Frustratingly easy NBNN domain adaptation. T. Tommasi and B. Caputo. Proceedings of the International Conference on Computer Vision (ICCV), 2013.  [pdf]

[bibtex]
prova
acml-2013 Multiclass latent locally linear support vector machines. M. Fornoni, F. Orabona, B. Caputo. Proceedings of the Asian Conference on Machine Learning (ACML), 2013. [pdf]

[bibtex]
prova
Imageclef-overview-2013 ImageCLEF 2013: the vision, the data and the open challenges. B. Caputo, H. Muller, B. Thomee, M. Villegas, R. Paredes, D. Zellhofer, H. Goeau, A. Joly, P, Bonnet, J. Martinez- Gomez, I. Garcia Varea, and M. Cazorla. Proceesings of ImageCLEf, LNCS, 2013.  [pdf]

[bibtex]
prova
imageclef-rv-2013 Overview of the ImageCLEF 2013 Robot Vision Task. J. Martinez­Gomez, I. Garcia­Varea, M. Cazorla, B. Caputo. ImageCLEF working Notes, 2013.

[bibtex]
prova
epfl-book-medical-2013 Medical Image Annotation. B. Caputo. Interactive Multimodal Infomation Management, H. Bourlard and A. Popescu­Belis (Eds), EPFL Press, 2013.

[bibtex]
prova
epfl-book-activity-2013 Learning to learn new models of human activities in indoor settings. F. Nater, T. Tommasi, L. Van Gool, B. Caputo. Interactive Multimodal Infomation Management, H. Bourlard and A. Popescu­Belis (Eds), EPFL Press, 2013.

[bibtex]
prova
icorr-2013 Exploiting accelerometers to improve movement classification for prosthetics. A. Gijsberts, B. Caputo. Proceedings of the International Conference on Rehabilitation Robotics (ICORR), 2013.  [pdf]

[bibtex]
prova
cvpr-2013 From N to N+1: multiclass transfer incremental learning. I. Kuzborskij, F. Orabona, B. Caputo. Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR), 2013 [pdf]

[bibtex]
inproceedings{bb82825,
AUTHOR = “Kuzborskij, I. and Orabona, F. and Caputo, B.”,
TITLE = “From N to N+1: Multiclass Transfer Incremental Learning”,
BOOKTITLE = CVPR13,
YEAR = “2013”,
PAGES = “3358-3365”}
tro-2013 Improving control of dexterous hands prostheses using adaptive learning. T. Tommasi, F. Orabona, C. Castellini, B. Caputo. IEEE Transactions on Robotics, vol 29, n 1, pp. 207­2019, 2013. [pdf]

[bibtex]
prova

2012

 jmlr-2012 Multi kernel learning with online­ batch optimization. F. Orabona, L. Jie, B. Caputo. Journal of Machine Learning Research, 13 (Feb): 165­191, 2012. [pdf]

[bibtex]
prova
 accv-2012 Beyond dataset bias: multi­task unaligned shared knowledge transfer. T. Tommasi, N. Quadrianto, B. Caputo, C. H. Lampert. Proceedings of the Asian Conference on Computer Vision (ACCV), 2012, [pdf]

[bibtex]
@inProceedings{bb82827, AUTHOR = “Tommasi, T. and Quadrianto, N. and Caputo, B. and Lampert, C.H.”,
TITLE = “Beyond Dataset Bias: Multi-task Unaligned Shared Knowledge Transfer”,
BOOKTITLE = ACCV12,
YEAR = “2012”, PAGES = “I:1-15”,
BIBSOURCE =
“http://www.visionbib.com/bibliography/pattern605t1.html#TT79604”}
 bmvc-fornoni-2012 Indoor scene recognition using task and saliency driven feature pooling. M. Fornoni, B. Caputo. Proceedings of the British Machine Vision Conference (BMVC), 2012. [pdf]

[bibtex]
prova
 bmvc-tommasi-2012 Leveraging over prior knowledge for online learning of visual categories. T. Tommasi, F. Orabona, M. Kaboli, B. Caputo. Proceedings of the British Machine Vision Conference (BMVC), 2012. [pdf]

[bibtex]
prova
embc-2012 On the challenge of classifying 52 hand movements from surface electromyography. I. Kuzborskij, A. Gijsberts, B. Caputo. Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012. [pdf]

[bibtex]
prova
 biorob-2012 Building the NinaPro database: a resource for the biorobotics community. M. Atzori, A. Gijsberts, S. Heynen, A.­G. Mittaz Hager, O. Deriaz, P. van der Smagt, C. Castellini, B. Caputo, H. Muller. Proceedings of the IEEE International Conference on Biomedical robotics and Biomechatronics (BioRob), 2012. [pdf]

[bibtex]
prova

 

2011

tamd-2011 Using object affordances to improve object recognition. C. Castellini, T. Tommasi, N. Noceti, F. Odone, B. Caputo. IEEE Transaction on Autonomous Mental Development, 3 (3), 207­ 215, 2011. [pdf]

[bibtex]
prova
 iccv-w2011 Transferring activities: updating human behavior analysis. F. Nater, T. Tommasi, H. Grabner, L. Van Gool, B. Caputo. Visual Surveillance Workshop at ICCV 2011. [pdf]

[bibtex]
prova
 bmvc-2011 A large scale database of image and captions for automatic face naming. M. Ozcan, L. Jie, B. Caputo, V. Ferrari. Proceedings of the British Machine Vision Conference (BMVC), 2011. [pdf]

[bibtex]
prova
 icra-2011 Towards semi supervised learning of semantic spatial concepts. J. Martinez­-Gomez, B. Caputo. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2011. [pdf]

[bibtex]
prova
 iccv2011 Multiclass transfer learning from unconstrained priors. L. Jie, T. Tommasi, B. Caputo. Proceedings of the International Conference on Computer Vision (ICCV), 2011. [pdf]

[bibtex]
prova

2010

 

Towards semi supervised learning of semantic spatial concepts. J. Martinez­-Gomez, B. Caputo. Journal of Physical Agents, 4 (3), 2010 [pdf]

[bibtex]
prova
Learning methods for melanoma recognition. E. La Torre, B. Caputo, T. Tommasi. International Journal on Image and System Technology, 20, 316­322, 2010. [pdf]

[bibtex]
prova
ivc-pronobis2010 The more you learn, the less you store: memory­ controlled incremental SVM for visual place recognition. A. Pronobis, L. Jie, B. Caputo. Image and Vision Computing, Special Issue on Incremental Learning, 28 (7), 1080­1097, 2010. [pdf]

[bibtex]
prova
Multi­modal place classification for semantic robot localization. A. Pronobis, O. Martinez- Monoz, B. Caputo, P. Jensfelt. International Journal on Robotic Research, Special Issue on Robot Vision, 29 (2­3), 298­320, 2010. [pdf]

[bibtex]
prova
ras2010 A realistic benchmark for visual indoor place recognition. A. Pronobis, B. Caputo, P. Jensfelt, H. Christensen. Robots and Autonomous Systems, 58 (1), 81­96, 2010. [pdf]

[bibtex]
prova
pr2010 Online independent support vector machines. F, Orabona, C. Castellini, B. Caputo, J. Luo, G. Sandini. Pattern Recognition, 43 (4), 1402­1412, 2010. [pdf]

[bibtex]
prova
ivc-caputo2010 Classifying materials in the real world. B. Caputo, E. Hayman, M. J. Fritz, J.­O. Eklundh. Image and Vision Computing, 28 (2010), 150­163. [pdf]

[bibtex]
prova
Object recognition using visuo-­affordance maps. A. Gijsberts, T. Tommasi, G. Metta, B. Caputo. Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), 2010.

[bibtex]
prova
OM­2: an online multi­class multi kernel learning algorithm. L. jie, F. Orabona, M. Fornoni, B. Caputo, N. Cesa­Bianchi. Proceedings of the fourth IEEE Online learning for computer vision workshop, in conjunction with CVPR 2010.

[bibtex]
prova
cvpr-orabona2010 Online-­batch strongly convex multi kernel learning. F. Orabona, L. Jie, B. Caputo. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2010. [pdf]

[bibtex]
prova
cvpr-tommasi2010 Safety in numbers: learning categories from few examples with multi model knowledge transfer. T. Tommasi, F. Orbaona, B. Caputo. Proceedings of the IEEE Computer society Conference on Computer Vision and pattern Recognition (CVPR), 2010. [pdf]

[bibtex]
prova

2009

Advances in medical content-­based retrieval for clinical decision support. B. Caputo, H. Muller, T. Syeda­Mahmood, J. S. Duncan, F. Wang, J. Kalpathy-­Cramer (eds). Lecture Notes in Computer Science, Vol 5853, 2009, Springer.

[bibtex]
prova
A performance evaluation of exact and approximate match kernels for object recognition. B. Caputo, L. Jie. Electronic Letters on Computer Vision and Image Analysis, 8 (3), 15­26, 2009. [pdf]

[bibtex]
prova
JMLR2009 Bounded kernel ­based online learning. F. Orabona, J. Keshet, B. Caputo. Journal of Machine Learning Research, 10 (2009), 2643, 2666. [pdf]

[bibtex]
prova
IJRR2009 COLD: the COsy Localization Database. A. Pronobis, B. Caputo. International Journal on Robotic Research, 28 (5), 588­594, 2009. [pdf]

[bibtex]
prova
NIPS2009 Who’s doing what: joint modelling of names and verbs for simultaneous face and pose annotation. L. Jie, B. Caputo, V. Ferrari. Proceedings of Neural Information Processing and Systems (NIPS), 2009. [pdf]

[bibtex]
prova
ACCV2009 An online framework for learning novel concepts over multiple cues. L. Jie, F. Orabona, B. Caputo. Proceedings of the Asian Conference on Computer Vision (ACCV), 2009. [pdf]

[bibtex]
prova
BMVC2009 The more you know, the less you learn: from knowledge transfer to one­ shot learning of object categories. T. Tommasi, B. Caputo. Proceedings of the British Machine Vision Conference (BMVC), 2009. [pdf]

[bibtex]
prova
You live, you learn, you forget: continuous learning of visual places with a forgetting mechanism. M. M Ullah, F. Orabona, B. Caputo. Proceedings of the International Conference on Robots and Systems (IROS), 2009. [pdf]

[bibtex]
prova
ICIAP2009 Towards a theoretical framework for learning multi modal patterns for embodied agents. N. Noceti, B. Caputo, C. Castellini, L. Baldassarre, A. Barla, L. Rosasco, F. Odone, G. Sandini. Proceedings of the International Conference on Image Analysis and Processing (ICIAP), 2009. [pdf]

[bibtex]
prova
ICDL2009 A theoretical framework for transfer of knowledge across modalities in artificial and biological systems. F. Orabona, B. Caputo, A. Fillbrandt, F. W. Ohl. Proceedings of the International Conference on Developmental Learning (ICDL), 2009. [pdf]

[bibtex]
prova
ICRA2009 Model adaptation with least­-squares SVM for adaptive hand prosthetics. F. Orabona, C. Castellini, B. Caputo, A. E. Fiorilla, G. Sandini. Proceedings of the International Conference on Robots and Automation (ICRA), 2009. [pdf]

[bibtex]
prova

2008

 

prl2008 Discriminative cue integration for medical image annotation. T. Tommasi, F. Orabona, B. Caputo. Pattern Recognition Letters, special issue on ImageCLEF Med benchmark evaluation, 29 (15), 1996­2002, November 2008. [pdf]

[bibtex]
prova
 elcvia2008 Class specific object recognition using kernel Gibbs distributions. B. Caputo. Electronic letters on computer vision and image analysis, special issue on computational modelling of objects represented in images, 7 (2): 96­109, 2008. [pdf]

[bibtex]
prova
 clef2008 An SVM confidence-­based approach to medical image annotation. T. Tommasi, F. Orabona, B. Caputo. Proc. CLEF 2008. [pdf]

[bibtex]
prova
icmi2008 The DIRAC AWEAR audio­visual platform for detection of unexpected and incongruent events. J. Anemueller, J.­H. Bach, B. Caputo, M. Havlena, L. Jie, H. Kayser, B. Leibe, P. Motlicek, T. Pajdla, M. Pavel, A. torli, A. Zweig, H. Hermansky. Proc ICMI 2008. [pdf]

[bibtex]
prova
icml2008 The projectron: a bounded kernel-­based perceptron. F. Orabona, J. Keshet, B. Caputo. Proceedings of the International Conference on Machine Learning (ICML), 2008. [pdf]

[bibtex]
prova
iccs2008 Biologically motivated audio-visual cue integration for object categorization. J. Anemueller, J.-H. Bach, B. Caputo, L. Jie, F. Ohl, F. Orabona, R. Vogels, D. Weinshall, a. Zweig. Proc ICCS 2008. [pdf]

[bibtex]
prova
icra-ullah2008 Towards robust place classification for robot localization. M. M. Ullah, A. Pronobis, B. Caputo, J. Luo, P. Jensfelt, H. Christensen. Proc. ICRA 2008. [pdf]

[bibtex]
prova
icra-pronobis2008 SVM-based discriminative accumulation scheme for place recognition. A. Pronobis, O. Martinez, B. Caputo, Proc. ICRA 2008. [pdf]

[bibtex]
prova

2007

cviu2007 Local velocity-adapted motion events for spatio-temporal recognition. I. Laptev, B. Caputo, C. Schultz, T. Lindeberg, Computer Vision and Image Understanding, 108 (3), 207-229, December 2007. [pdf]

[bibtex]
prova
clef2007 Cue Integration for Medical Image Annotation. T. Tommasi, F. Orabona, B.Caputo. Proc.CLEF 2007 [pdf]

[bibtex]
prova
bmvc2007 Online incremental support vector machines for place recognition. F. Orabona, C. Castellini, B. Caputo, J. Luo, G. Sandini. Proc. BMVC 2007 [pdf]

[bibtex]
prova
 iros-pronobis2007 Confidence based cue integration for place recognition. A. Pronobis, B. Caputo. Proc. IROS 2007. [pdf]

[bibtex]
prova
iros-luo2007 Incremental learning for place recognition in dynamic environments. J. Luo, A. Pronobis, B. Caputo, P. Jensfelt. Proc. IROS 2007 [pdf]

[bibtex]
prova
icvs2007 SVM-based transfer of visual knowledge across robotic platforms. J. Luo, A. Pronobis, B. Caputo. Proc. ICVS 2007 [pdf]

[bibtex]
prova

2006

ijist2006 Spin Glass models of Markos random fields. B. Caputo. International Journal on Image System and Technology, Special Issue on Computer Vision, 16 (5), 181-188, January 2006. [pdf]

[bibtex]
prova
iros2006 A discriminative approach to robust visual place recognition. A. Pronobis, B. Caputo, P. Jensfelt. H. Christensen. Proc. IROS 2006.[pdf]

[bibtex]
prova
mie-2006 Kernel methods for melanoma recognition. E. La torre, T. Tommasi, B. Caputo. Proc. MIE 2006. [pdf]

[bibtex]
prova

2005

iccv-caputo2005 Class-specific material categorization. B. Caputo, E. Hayman, P. Mallikarjuna. Proc ICCV 2005. [pdf]

[bibtex]
prova
iccv-fritz-2005 Integrating representative and discriminative models for object category detection. M. Fritz, B. Leibe, B. Caputo, B. Schiele. Proc ICCV 2005. [pdf]

[bibtex]
prova

2004

icpr-laptev2004 Recognizing human actions: a local SVM approach. C. Schuld, I. Laptev, B. Caputo. Proc. ICPR 2004. [pdf]

[bibtex]
prova
icpr-caputo2004 Object categorization via local kernels.
B. Caputo, C. Wallraven, M. E. Nilsback.
Proc. ICPR 2004.[pdf]

[bibtex]
prova
cvpr2004 Cue integration through discriminative accumulation. M. E. Nilsback, B. Caputo. Proc CVPR 2004. [pdf]

[bibtex]
prova
eccv2004 On the significance of real-world conditions for material classification.
E. Hayman, B. Caputo, M. J. Fritz, J.-O. Eklundh.
Proc ECCV 2004.[pdf]

[bibtex]
prova

2003

iccv-2003 Recognition with local features: the kernel recipe.
C. Wallraven, B. Caputo, A. Graf.
Proc. ICCV 2003.[pdf]

[bibtex]
prova

2002

 nips2002 How to combine color and shape information for 3D object recognition: kernels do the trick.
B. Caputo, Gy. Dorko.
Proceedings of  Neural Information Processing and Systems (NIPS), 2002.[pdf]

[bibtex]
prova
nips-2002-workshop Appearance-based object recognition using SVMs: which kernel should I use?B. Caputo, K. Sim, F. Furesjo, A. Smola. Proceedings of the NIPS workshop on statistical methods for computational experiments in visual processing and computer vision, 2002.[pdf]
[bibtex]
prova
icpr-2002-class-specific To each according to its need: kernel class specific classifier. B. Caputo, H. Niemann. Proceedings on the International Conference on Pattern Recognition (ICPR), 2002. [pdf]

[bibtex]
prova

2001

icpr-2002-spin-glass Robust appearance-based object recognition using a fully connected Markov random field.
B. Caputo, S. Bouattour, H. Niemann.
Proceedings on the International Conference on Pattern Recognition (ICPR), 2002.
[pdf]

[bibtex]
prova
vmv-2001 A novel probabilistic model for 3D object recognition: Spin Glass-Markov Random Fields.
B. Caputo, S. Bouattour, D. Paulus.
Proceedings of the Vision, Modeling and Visualization Workshop (VMV), 2001. 
[pdf]

[bibtex]
prova

2000

vmv-2000 Digital mammography: Gabor filter for detection of microcalcifications. B. Caputo, G. E. Gigante.
Proceedings of the Vision, Modeling and Visualization Workshop (VMV), 2000.
[pdf]
[bibtex]
prova

1999

vmv-1999 A hierarchical representation for texture classification.
B. Caputo, A. Troncone, D. Vitulano.
Proceedings of the Vision, Modeling and Visualization Workshop (VMV), 1999.
[pdf]

[bibtex]
prova