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Semantic ScholarManuele Bicego
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2010 – today
- 2018
[j31]Manuele Bicego, Alessandro Farinelli, Enrico Grosso, D. Paolini, Sarvapali D. Ramchurn:
On the distinctiveness of the electricity load profile. Pattern Recognition 74: 317-325 (2018)- [c81]Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Jason Blum, Matteo Denitto, Alessandro Farinelli:
Unsupervised activity recognition for autonomous water drones. SAC 2018: 840-842 - 2017
- [j30]Alessandro Farinelli, Manuele Bicego, Filippo Bistaffa, Sarvapali D. Ramchurn:
A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees. Eng. Appl. of AI 59: 170-185 (2017) - [j29]Matteo Denitto, Alessandro Farinelli, Mário A. T. Figueiredo, Manuele Bicego:
A biclustering approach based on factor graphs and the max-sum algorithm. Pattern Recognition 62: 114-124 (2017) - [j28]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Mário A. T. Figueiredo:
Spike and slab biclustering. Pattern Recognition 72: 186-195 (2017) - [j27]Pietro Lovato, Marco Cristani, Manuele Bicego:
Soft Ngram Representation and Modeling for Protein Remote Homology Detection. IEEE/ACM Trans. Comput. Biology Bioinform. 14(6): 1482-1488 (2017) - [c80]Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Domenico Bloisi, Jason J. Blum, Matteo Denitto, Alessandro Farinelli:
Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. AIRO@AI*IA 2017: 16-21 - [c79]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Marcello Pelillo:
Dominant Set Biclustering. EMMCVPR 2017: 49-61 - [c78]Matteo Denitto, Simone Melzi, Manuele Bicego, Umberto Castellani, Alessandro Farinelli, Mário A. T. Figueiredo, Yanir Kleiman, Maks Ovsjanikov:
Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. ICCV 2017: 4270-4279 - [c77]Matteo Denitto, Alessandro Farinelli, Manuele Bicego:
Biclustering of time series data using factor graphs. SAC 2017: 28-30 - [c76]Lorenzo Bottarelli, Jason Blum, Manuele Bicego, Alessandro Farinelli:
Path efficient level set estimation for mobile sensors. SAC 2017: 262-267 - 2016
- [j26]Pietro Lovato, Manuele Bicego, Maria Kesa, Nebojsa Jojic, Vittorio Murino, Alessandro Perina:
Traveling on discrete embeddings of gene expression. Artificial Intelligence in Medicine 70: 1-11 (2016) - [j25]Manuele Bicego, Pietro Lovato:
A bioinformatics approach to 2D shape classification. Computer Vision and Image Understanding 145: 59-69 (2016) - [j24]Manuele Bicego, Sisto Baldo:
Properties of the Box-Cox transformation for pattern classification. Neurocomputing 218: 390-400 (2016) - [c75]Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Nicola Bombieri, Alessandro Farinelli, Luca Veggian:
Orienteering-based Path Selection for Mobile Sensors. AIRO@AI*IA 2016: 36-40 - [c74]Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Alessandro Farinelli:
Skeleton-Based Orienteering for Level Set Estimation. ECAI 2016: 1256-1264 - [c73]
- [c72]Mauricio Orozco-Alzate, Robert P. W. Duin, Manuele Bicego:
Unsupervised Parameter Estimation of Non Linear Scaling for Improved Classification in the Dissimilarity Space. S+SSPR 2016: 74-83 - [c71]Matteo Denitto, Luca Magri, Alessandro Farinelli, Andrea Fusiello, Manuele Bicego:
Multiple Structure Recovery via Probabilistic Biclustering. S+SSPR 2016: 274-284 - [c70]Andrea Cucci, Pietro Lovato, Manuele Bicego:
Enriched Bag of Words for Protein Remote Homology Detection. S+SSPR 2016: 463-473 - [c69]Lorenzo Bottarelli, Manuele Bicego, Matteo Denitto, Alessandra Di Pierro, Alessandro Farinelli:
A Quantum Annealing Approach to Biclustering. TPNC 2016: 175-187 - 2015
- [j23]Mauricio Orozco-Alzate, Paola Alexandra Castro-Cabrera, Manuele Bicego, John Makario Londoño-Bonilla:
The DTW-based representation space for seismic pattern classification. Computers & Geosciences 85: 86-95 (2015) - [j22]Pietro Lovato, Alejandro Giorgetti, Manuele Bicego:
A Multimodal Approach for Protein Remote Homology Detection. IEEE/ACM Trans. Comput. Biology Bioinform. 12(5): 1193-1198 (2015) - [c68]Manuele Bicego, John Makario Londoño-Bonilla, Mauricio Orozco-Alzate:
Volcano-Seismic Events Classification Using Document Classification Strategies. ICIAP (1) 2015: 119-129 - [c67]Matteo Denitto, Alessandro Farinelli, Manuele Bicego:
Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm. IJCAI 2015: 925-931 - [c66]Pietro Lovato, Manuele Bicego, Vittorio Murino, Alessandro Perina:
Robust Initialization for Learning Latent Dirichlet Allocation. SIMBAD 2015: 117-132 - 2014
- [j21]Anna C. Carli, Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino:
Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images. Neurocomputing 123: 49-59 (2014) - [j20]Pietro Lovato, Manuele Bicego, Cristina Segalin, Alessandro Perina, Nicu Sebe, Marco Cristani:
Faved! Biometrics: Tell Me Which Image You Like and I'll Tell You Who You Are. IEEE Trans. Information Forensics and Security 9(3): 364-374 (2014) - [c65]Paola Castro-Cabrera, Mauricio Orozco-Alzate, Andrea Adami, Manuele Bicego, John Makario Londoño-Bonilla, Germán Castellanos-Domínguez:
A Comparison between Time-Frequency and Cepstral Feature Representations for the Classification of Seismic-Volcanic Signals. CIARP 2014: 440-447 - [c64]Manuele Bicego, Stefano Danese, Simone Melzi, Umberto Castellani:
A Bioinformatics Approach to 3D Shape Matching. ECCV Workshops (4) 2014: 313-325 - [c63]Manuele Bicego, F. Recchia, Alessandro Farinelli, Sarvapali D. Ramchurn, Enrico Grosso:
Behavioural Biometrics Using Electricity Load Profiles. ICPR 2014: 1764-1769 - [c62]Alessandro Perina, Maria Kesa, Manuele Bicego:
Expression Microarray Data Classification Using Counting Grids and Fisher Kernel. ICPR 2014: 1770-1775 - [c61]Pietro Lovato, Alessio Milanese, Cesare Centomo, Alejandro Giorgetti, Manuele Bicego:
S-BLOSUM: Classification of 2D Shapes with Biological Sequence Alignment. ICPR 2014: 2335-2340 - [c60]Robert P. W. Duin, Manuele Bicego, Mauricio Orozco-Alzate, Sang-Woon Kim, Marco Loog:
Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance. S+SSPR 2014: 183-192 - [c59]Matteo Denitto, Alessandro Farinelli, Giuditta Franco, Manuele Bicego:
A Binary Factor Graph Model for Biclustering. S+SSPR 2014: 394-403 - 2013
- [j19]Manuele Bicego, Aydin Ulas, Umberto Castellani, Alessandro Perina, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Combining information theoretic kernels with generative embeddings for classification. Neurocomputing 101: 161-169 (2013) - [j18]Manuele Bicego, Carolina Acosta-Munoz, Mauricio Orozco-Alzate:
Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings. IEEE Trans. Geoscience and Remote Sensing 51(6-1): 3400-3409 (2013) - [c58]Alessandro Farinelli, Manuele Bicego, Sarvapali D. Ramchurn, Mauro Zucchelli:
C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation. IJCAI 2013: 106-112 - [c57]Alessandro Perina, Nebojsa Jojic, Manuele Bicego, Andrzej Truski:
Documents as multiple overlapping windows into grids of counts. NIPS 2013: 10-18 - [c56]Alessandro Perina, Manuele Bicego, Umberto Castellani, Vittorio Murino:
Exploiting Geometry in Counting Grids. SIMBAD 2013: 250-264 - [p2]Pedro M. Q. Aguiar, Manuele Bicego, Umberto Castellani, Mário A. T. Figueiredo, André F. T. Martins, Vittorio Murino, Alessandro Perina, Aydin Ulas:
On the Combination of Information-Theoretic Kernels with Generative Embeddings. Similarity-Based Pattern Analysis and Recognition 2013: 67-83 - [p1]Aydin Ulas, Umberto Castellani, Manuele Bicego, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla:
Analysis of Brain Magnetic Resonance (MR) Scans for the Diagnosis of Mental Illness. Similarity-Based Pattern Analysis and Recognition 2013: 247-287 - 2012
- [j17]Paola Bisignano, Chiara Lambruschini, Manuele Bicego, Vittorio Murino, Angelo D. Favia, Andrea Cavalli:
In Silico Deconstruction of ATP-Competitive Inhibitors of Glycogen Synthase Kinase-3β. Journal of Chemical Information and Modeling 52(12): 3233-3244 (2012) - [j16]Manuele Bicego, Pietro Lovato, Alessandro Perina, Marianna Fasoli, Massimo Delledonne, Mario Pezzotti, Annalisa Polverari, Vittorio Murino:
Investigating Topic Models' Capabilities in Expression Microarray Data Classification. IEEE/ACM Trans. Comput. Biology Bioinform. 9(6): 1831-1836 (2012) - [c55]Pietro Lovato, Alessandro Perina, Nicu Sebe, Omar Zandonà, Alessio Montagnini, Manuele Bicego, Marco Cristani:
Tell Me What You Like and I'll Tell You What You Are: Discriminating Visual Preferences on Flickr Data. ACCV (1) 2012: 45-56 - [c54]Riccardo Avesani, Alessio Azzoni, Manuele Bicego, Mauricio Orozco-Alzate:
Automatic Classification of Volcanic Earthquakes in HMM-Induced Vector Spaces. CIARP 2012: 640-647 - [c53]Manuele Bicego, Pietro Lovato:
2D shape recognition using biological sequence alignment tools. ICPR 2012: 1359-1362 - [c52]Anna C. Carli, Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino:
Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images. ICPRAM (1) 2012: 113-122 - [c51]
- [c50]Pietro Lovato, Manuele Bicego, Marco Cristani, Nebojsa Jojic, Alessandro Perina:
Feature Selection Using Counting Grids: Application to Microarray Data. SSPR/SPR 2012: 629-637 - 2011
- [j15]Aydin Ulas, Robert P. W. Duin, Umberto Castellani, Marco Loog, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Marcella Bellani, Stefania Cerruti, Michele Tansella, Paolo Brambilla:
Dissimilarity-based detection of schizophrenia. Int. J. Imaging Systems and Technology 21(2): 179-192 (2011) - [c49]Aydin Ulas, Umberto Castellani, Pasquale Mirtuono, Manuele Bicego, Vittorio Murino, Stefania Cerruti, Marcella Bellani, Manfredo Atzori, Gianluca Rambaldelli, Michele Tansella, Paolo Brambilla:
Multimodal Schizophrenia Detection by Multiclassification Analysis. CIARP 2011: 491-498 - [c48]Manuele Bicego, Angelo D. Favia, Paola Bisignano, Andrea Cavalli, Vittorio Murino:
An Innovative Protocol for Comparing Protein Binding Sites via Atomic Grid Maps. KDIR 2011: 413-422 - [c47]Fabrizio Smeraldi, Manuele Bicego, Marco Cristani, Vittorio Murino:
CLOOSTING: CLustering Data with bOOSTING. MCS 2011: 289-298 - [c46]Alessandro Farinelli, Matteo Denitto, Manuele Bicego:
Biclustering of Expression Microarray Data Using Affinity Propagation. PRIB 2011: 13-24 - [c45]Manuele Bicego, Aydin Ulas, Peter J. Schüffler, Umberto Castellani, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels. PRIB 2011: 75-86 - [c44]Alessandro Perina, Pietro Lovato, Marco Cristani, Manuele Bicego:
A Comparison on Score Spaces for Expression Microarray Data Classification. PRIB 2011: 202-213 - [c43]Aydin Ulas, Peter J. Schüffler, Manuele Bicego, Umberto Castellani, Vittorio Murino:
Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma. SIMBAD 2011: 77-89 - 2010
- [c42]Anna C. Carli, Umberto Castellani, Manuele Bicego, Vittorio Murino:
Dissimilarity-based representation for local parts. CIP 2010: 299-303 - [c41]Manuele Bicego, Alessandro Perina, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Combining free energy score spaces with information theoretic kernels: Application to scene classification. ICIP 2010: 2661-2664 - [c40]Manuele Bicego, André Filipe Torres Martins, Vittorio Murino, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
2D Shape Recognition Using Information Theoretic Kernels. ICPR 2010: 25-28 - [c39]Anna C. Carli, Manuele Bicego, Sisto Baldo, Vittorio Murino:
Nonlinear Mappings for Generative Kernels on Latent Variable Models. ICPR 2010: 2134-2137 - [c38]Manuele Bicego, Pietro Lovato, Alberto Ferrarini, Massimo Delledonne:
Biclustering of Expression Microarray Data with Topic Models. ICPR 2010: 2728-2731 - [c37]Alessandro Perina, Pietro Lovato, Vittorio Murino, Manuele Bicego:
Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray. PRIB 2010: 230-241 - [c36]Manuele Bicego, Pietro Lovato, Barbara Oliboni, Alessandro Perina:
Expression microarray classification using topic models. SAC 2010: 1516-1520 - [c35]André F. T. Martins, Manuele Bicego, Vittorio Murino, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models. SSPR/SPR 2010: 463-472 - [i1]Ajita Rattani, Dakshina Ranjan Kisku, Manuele Bicego, Massimo Tistarelli:
Feature Level Fusion of Face and Fingerprint Biometrics. CoRR abs/1002.2523 (2010)
2000 – 2009
- 2009
- [j14]Gavin Brelstaff, Manuele Bicego, Nicola Culeddu, Matilde Chessa:
Bag of Peaks: interpretation of NMR spectrometry. Bioinformatics 25(2): 258-264 (2009) - [j13]Massimo Tistarelli, Manuele Bicego, Enrico Grosso:
Dynamic face recognition: From human to machine vision. Image Vision Comput. 27(3): 222-232 (2009) - [j12]Manuele Bicego, Mário A. T. Figueiredo:
Soft clustering using weighted one-class support vector machines. Pattern Recognition 42(1): 27-32 (2009) - [j11]Manuele Bicego, Elzbieta Pekalska, David M. J. Tax, Robert P. W. Duin:
Component-based discriminative classification for hidden Markov models. Pattern Recognition 42(11): 2637-2648 (2009) - [c34]Marcos Ortega, Linda Brodo, Manuele Bicego, Massimo Tistarelli:
Measuring changes in face appearance through aging. CVPR Workshops 2009: 107-113 - [c33]Manuele Bicego, Marco Cristani, Vittorio Murino, Elzbieta Pekalska, Robert P. W. Duin:
Clustering-Based Construction of Hidden Markov Models for Generative Kernels. EMMCVPR 2009: 466-479 - [c32]Marinella Cadoni, Manuele Bicego, Enrico Grosso:
3D Face Recognition Using Joint Differential Invariants. ICB 2009: 279-288 - [c31]Marcos Ortega, Linda Brodo, Manuele Bicego, Massimo Tistarelli:
On the Quantitative Estimation of Short-Term Aging in Human Faces. ICIAP 2009: 575-584 - [c30]Loris Bazzani, Marco Cristani, Manuele Bicego, Vittorio Murino:
Online subjective feature selection for occlusion management in tracking applications. ICIP 2009: 3617-3620 - 2008
- [j10]Manuele Bicego, Enrico Grosso, Andrea Lagorio, Gavin Brelstaff, Linda Brodo, Massimo Tistarelli:
Distinctiveness of faces: A computational approach. TAP 5(2): 11:1-11:18 (2008) - [c29]Manuele Bicego, Daniel González-Jiménez, Enrico Grosso, José Luis Alba-Castro:
Generalized Gaussian distributions for sequential data classification. ICPR 2008: 1-4 - [c28]Manuele Bicego, Enrico Grosso, Edoardo Otranto:
A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends. SSPR/SPR 2008: 852-861 - [c27]Manuele Bicego, Alessandro Trudda:
2D Shape Classification Using Multifractional Brownian Motion. SSPR/SPR 2008: 906-916 - 2007
- [j9]Manuele Bicego, Franco Dellaglio, Giovanna E. Felis:
Multimodal Phylogeny for Taxonomy: Integrating Information from nucleotide and amino acid Sequences. J. Bioinformatics and Computational Biology 5(5): 1069-1085 (2007) - [j8]Marco Cristani, Manuele Bicego, Vittorio Murino:
Audio-Visual Event Recognition in Surveillance Video Sequences. IEEE Trans. Multimedia 9(2): 257-267 (2007) - [c26]Massimo Tistarelli, Linda Brodo, Andrea Lagorio, Manuele Bicego:
Recognition of Human Faces: From Biological to Artificial Vision. BVAI 2007: 191-213 - [c25]Albert Ali Salah, Manuele Bicego, Lale Akarun, Enrico Grosso, Massimo Tistarelli:
Hidden Markov model-based face recognition using selective attention. Human Vision and Electronic Imaging 2007: 649214 - [c24]Daniel González-Jiménez, Manuele Bicego, Johan W. H. Tangelder, Ben A. M. Schouten, Onkar Ambekar, José Luis Alba-Castro, Enrico Grosso, Massimo Tistarelli:
Distance Measures for Gabor Jets-Based Face Authentication: A Comparative Evaluation. ICB 2007: 474-483 - [c23]Manuele Bicego, Marco Cristani, Vittorio Murino:
Sparseness Achievement in Hidden Markov Models. ICIAP 2007: 67-72 - [c22]Manuele Bicego, Albert Ali Salah, Enrico Grosso, Massimo Tistarelli, Lale Akarun:
Generalization in Holistic versus Analytic Processing of Faces. ICIAP 2007: 235-240 - [c21]Manuele Bicego, Elzbieta Pekalska, Robert P. W. Duin:
Group-Induced Vector Spaces. MCS 2007: 190-199 - 2006
- [j7]Manuele Bicego, Marco Cristani, Vittorio Murino:
Unsupervised scene analysis: A hidden Markov model approach. Computer Vision and Image Understanding 102(1): 22-41 (2006) - [j6]Manuele Bicego, Vittorio Murino, Marcello Pelillo, Andrea Torsello:
Similarity-based pattern recognition. Pattern Recognition 39(10): 1813-1814 (2006) - [c20]Manuele Bicego, Andrea Lagorio, Enrico Grosso, Massimo Tistarelli:
On the Use of SIFT Features for Face Authentication. CVPR Workshops 2006: 35 - [c19]Marco Cristani, Manuele Bicego, Vittorio Murino:
Audio-Visual Foreground Extraction for Event Characterization. CVPR Workshops 2006: 116 - [c18]Massimo Tistarelli, Manuele Bicego, Enrico Grosso:
Recognizing People's Faces: from Human to Machine Vision. ICARCV 2006: 1-7 - [c17]Manuele Bicego, Enrico Grosso, Massimo Tistarelli:
Person Authentication from Video of Faces: A Behavioral and Physiological Approach Using Pseudo Hierarchical Hidden Markov Models. ICB 2006: 113-120 - 2005
- [j5]Manuele Bicego, Maria Rosario Martinez, Vittorio Murino:
A supervised data-driven approach for microarray spot quality classification. Pattern Anal. Appl. 8(1-2): 181-187 (2005) - [j4]Manuele Bicego, Umberto Castellani, Vittorio Murino:
A Hidden Markov Model approach for appearance-based 3D object recognition. Pattern Recognition Letters 26(16): 2588-2599 (2005) - [c16]Manuele Bicego, Enrico Grosso, Massimo Tistarelli:
On Finding Differences Between Faces. AVBPA 2005: 329-338 - [c15]Manuele Bicego, Andrea Lagorio, Enrico Grosso, Massimo Tistarelli:
Measuring differences between faces. EUSIPCO 2005: 1-4 - [c14]S. Ceresola, Andrea Fusiello, Manuele Bicego, Alberto Belussi, Vittorio Murino:
Automatic Updating of Urban Vector Maps. ICIAP 2005: 1133-1139 - [c13]Manuele Bicego, Enrico Grosso, Massimo Tistarelli:
Face Authentication Using One-Class Support Vector Machines. IWBRS 2005: 15-22 - 2004
- [j3]Manuele Bicego, Vittorio Murino:
Investigating Hidden Markov Models' Capabilities in 2D Shape Classification. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 281-286 (2004) - [j2]Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo:
Similarity-based classification of sequences using hidden Markov models. Pattern Recognition 37(12): 2281-2291 (2004) - [c12]Marco Cristani, Manuele Bicego, Vittorio Murino:
Audio-Video Integration for Background Modelling. ECCV (2) 2004: 202-213 - [c11]Vittorio Murino, Manuele Bicego, Ivan A. Rossi:
Statistical Classification of Raw Textile Defects. ICPR (4) 2004: 311-314 - [c10]Marco Cristani, Manuele Bicego, Vittorio Murino:
On-Line Adaptive Background Modelling for Audio Surveillance. ICPR (2) 2004: 399-402 - [c9]Andrea Castellani, Debora Botturi, Manuele Bicego, Paolo Fiorini:
Hybrid HMM/SVM Model for the Analysis and Segmentation of Teleoperation Tasks. ICRA 2004: 2918-2923 - 2003
- [j1]Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo:
A sequential pruning strategy for the selection of the number of states in hidden Markov models. Pattern Recognition Letters 24(9-10): 1395-1407 (2003) - [c8]Umberto Castellani, Manuele Bicego, Gianluca Iacono, Vittorio Murino:
3D Face Recognition Using Stereoscopic Vision. Advanced Studies in Biometrics 2003: 126-137 - [c7]Manuele Bicego, Marco Cristani, Andrea Fusiello, Vittorio Murino:
Watershed-Based Unsupervised Clustering. EMMCVPR 2003: 83-94 - [c6]Manuele Bicego, Umberto Castellani, Vittorio Murino:
Using hidden Markov models and wavelets for face recognition. ICIAP 2003: 52-56 - [c5]Manuele Bicego, Silvio Dalfini, Gianni Vernazza, Vittorio Murino:
Automatic road extraction from aerial images by probabilistic contour tracking. ICIP (3) 2003: 585-588 - [c4]Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo:
Similarity-Based Clustering of Sequences Using Hidden Markov Models. MLDM 2003: 86-95 - 2002
- [c3]Antonello Panuccio, Manuele Bicego, Vittorio Murino:
A Hidden Markov Model-Based Approach to Sequential Data Clustering. SSPR/SPR 2002: 734-742 - 2001
- [c2]Manuele Bicego, Agostino Dovier, Vittorio Murino:
Designing the Minimal Structure of Hidden Markov Model by Bisimulation. EMMCVPR 2001: 75-90 - [c1]
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