Alessandro Verri

According to our database1, Alessandro Verri authored at least 101 papers between 1989 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Data-Driven Continuous Assessment of Frailty in Older People.
Frontiers Digit. Humanit., 2018

A Visual Computing Approach for Estimating the Motility Index in the Frail Elder.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Forward-Backward Splitting for Time-Varying Graphical Models.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Latent Variable Time-varying Network Inference.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Visual Computing Methods for Assessing the Well-Being of Older People.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018

2017
Temporal prediction of multiple sclerosis evolution from patient-centered outcomes.
Proceedings of the Machine Learning for Health Care Conference, 2017

Data-driven strategies for robust forecast of continuous glucose monitoring time-series.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Icing: Large-Scale Inference of Immunoglobulin Clonotypes.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017

2016
A temporal model for multiple sclerosis course evolution.
CoRR, 2016

2015
Online Space-Variant Background Modeling With Sparse Coding.
IEEE Trans. Image Process., 2015

BMTDL for Scene Modeling on the SBI Dataset.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomes.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Alternating Proximal Regularized Dictionary Learning.
Neural Comput., 2014

Real-time Automatic Emotion Recognition from Body Gestures.
CoRR, 2014

Proximal methods for the latent group lasso penalty.
Comput. Optim. Appl., 2014

Unsupervised tissue segmentation from dynamic contrast-enhanced magnetic resonance imaging.
Artif. Intell. Medicine, 2014

2013
Accelerated and Inexact Forward-Backward Algorithms.
SIAM J. Optim., 2013

Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput data.
Source Code Biol. Medicine, 2013

Nonparametric sparsity and regularization.
J. Mach. Learn. Res., 2013

Background modeling through dictionary learning.
Proceedings of the IEEE International Conference on Image Processing, 2013

A dictionary learning based method for aCGH segmentation.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Dictionary learning improves subtyping of breast cancer aCGH data.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

2012
Multi-output learning via spectral filtering.
Mach. Learn., 2012

Discriminant functional gene groups identification with machine learning and prior knowledge.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Adaptive Optimization for Cross Validation.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Spectral clustering with more than K eigenvectors.
Neurocomputing, 2011

DCE-MRI Analysis Using Sparse Adaptive Representations.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

PADDLE: Proximal Algorithm for Dual Dictionaries LEarning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

SVS: Data and knowledge integration in computational biology.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
A Regularization Approach to Nonlinear Variable Selection.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Solving Structured Sparsity Regularization with Proximal Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Vector Field Learning via Spectral Filtering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A randomized algorithm for spectral clustering.
Proceedings of the ESANN 2010, 2010

Relative Pose Estimation for Planetary Entry Descent Landing.
Proceedings of the Computer Vision - ACCV 2010 Workshops, 2010

2009
A Sparsity-Enforcing Method for Learning Face Features.
IEEE Trans. Image Process., 2009

A Regularized Method for Selecting Nested Groups of Relevant Genes from Microarray Data.
J. Comput. Biol., 2009

A Regularized Framework for Feature Selection in Face Detection and Authentication.
Int. J. Comput. Vis., 2009

Feature selection for high-dimensional data.
Comput. Manag. Sci., 2009

Segmentation of Inflamed Synovia in Multi-Modal 3D MRI.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Machine Learning Techniques for Biometrics.
Proceedings of the Handbook of Remote Biometrics, 2009

2008
Spectral Algorithms for Supervised Learning.
Neural Comput., 2008

A method for robust variable selection with significance assessment.
Proceedings of the ESANN 2008, 2008

2007
Fitting 3D morphable models using implicit representations.
J. Virtual Real. Broadcast., 2007

Spatio-temporal constraints for matching view-based descriptions of 3D objects.
Proceedings of the Eighth International Workshop on Image Analysis for Multimedia Interactive Services, 2007

Dimensionality reduction and generalization.
Proceedings of the Machine Learning, 2007

A trainable system for face detection in unconstrained environments.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

Appearance-based 3D object recognition with time-invariant features.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

A system for face detection and tracking in unconstrained environments.
Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

A Regularized Approach to Feature Selection for Face Detection.
Proceedings of the Computer Vision, 2007

2006
SVD-matching using SIFT features.
Graph. Model., 2006

Shape Categorization Using String Kernels.
Proceedings of the Structural, 2006

Trains of keypoints for 3D object recognition.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Analysis on a Local Approach to 3D Object Recognition.
Proceedings of the Pattern Recognition, 2006

2005
Building kernels from binary strings for image matching.
IEEE Trans. Image Process., 2005

A Novel Kernel Method for Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Feature selection with nonparametric statistics.
Proceedings of the 2005 International Conference on Image Processing, 2005

Large Baseline Matching of Scale Invariant Features.
Proceedings of the Image Analysis and Processing, 2005

Support vector algorithms as regularization networks.
Proceedings of the ESANN 2005, 2005

An Open System for 3D Data Acquisition from Multiple Sensor.
Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005

2004
Are Loss Functions All the Same?.
Neural Comput., 2004

Some Properties of Regularized Kernel Methods
J. Mach. Learn. Res., 2004

2003
Editorial: Support Vector Machines for Computer Vision and Pattern Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2003

A Multimedia, Multichannel, and Personalized News Provider.
Proceedings of the Interactive Multimedia on Next Generation Networks, 2003

Histogram intersection kernel for image classification.
Proceedings of the 2003 International Conference on Image Processing, 2003

Old fashioned state-of-the-art image classification.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

Statistical Learning Approaches with Application to Face Detection.
Proceedings of the Advanced Studies in Biometrics, Summer School on Biometrics, 2003

2002
Image Kernels.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

Hausdorff Kernel for 3D Object Acquisition and Detection.
Proceedings of the Computer Vision, 2002

2001
A Trainable System for Grading Fish from Images.
Appl. Artif. Intell., 2001

General Purpose Matching of Grey Level Arbitrary Images.
Proceedings of the Visual Form 2001, 4th International Workshop on Visual Form, 2001

A Flexible Algorithm for Image Matching.
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001

2000
A compact algorithm for rectification of stereo pairs.
Mach. Vis. Appl., 2000

Introduction: Learning and Vision at CBCL.
Int. J. Comput. Vis., 2000

Learning to Recognize Visual Dynamic Events from Examples.
Int. J. Comput. Vis., 2000

1999
Finding the epipole from uncalibrated optical flow.
Image Vis. Comput., 1999

epresenting and Recognizing Visual Dynamic Events with Support Vector Machines.
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999

Support vector machines vs multi-layer perceptrons in particle identification.
Proceedings of the ESANN 1999, 1999

A Note on Support Vector Machine Degeneracy.
Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999

1998
Support Vector Machines for 3D Object Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Properties of Support Vector Machines.
Neural Comput., 1998

Recognizing 3-D Objects with Linear Support Vector Machines.
Proceedings of the Computer Vision, 1998

Visual Learning of Weight from Shape Using Support Vector Machines.
Proceedings of the British Machine Vision Conference 1998, 1998

Introductory techniques for 3-D computer vision.
Prentice Hall, ISBN: 978-0-13-261108-4, 1998

1997
Computing Size Functions from Edge Maps.
Int. J. Comput. Vis., 1997

There Is More to Vision than Geometry - Reply to Pizlo, Rosenfeld, and Weiss.
Comput. Vis. Image Underst., 1997

Direct Aspect-Based 3D Object Recognition.
Proceedings of the Image Analysis and Processing, 9th International Conference, 1997

Rectification with unconstrained stereo geometry.
Proceedings of the British Machine Vision Conference 1997, 1997

1996
Metric-topological approach to shape representation and recognition.
Image Vis. Comput., 1996

Aspect-based object recognition with size functions.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
Sign Language Recognition: an Application of the Theory of Size Functions.
Proceedings of the British Machine Vision Conference, 1995

1994
On the recognition of the alphabet of the sign language through size functions.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
On the use of size functions for shape analysis.
Biol. Cybern., 1993

Invariant Size Functions.
Proceedings of the Applications of Invariance in Computer Vision, Second Joint European, 1993

1992
Motion analysis from first-order properties of optical flow.
CVGIP Image Underst., 1992

Identifying multiple motions from optical flow.
Proceedings of the Computer Vision, 1992

1990
3D Motion and Structure from Image Sequences.
Proceedings of the Modelling the Innovation: Communications, 1990

Computing optical flow from an overconstrained system of linear algebraic equations.
Proceedings of the Third International Conference on Computer Vision, 1990

1989
Motion Field and Optical Flow: Qualitative Properties.
IEEE Trans. Pattern Anal. Mach. Intell., 1989

Motion Segmentation from Optical Flow.
Proceedings of the Alvey Vision Conference, 1989


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