Publications by Barbara Caputo

Scalable greedy algorithms for transfer learning

In this paper we consider the binary transfer learning problem, focusing on how to select and combine sources from a large pool to yield a good performance on a target task. Constraining our scenario to real world, we do not assume the direct access to the ...

2017

Where Are We After Five Editions? Robot Vision Challenge, a Competition that Evaluates Solutions for the Visual Place Classification Problem

Barbara Caputo, Marco Fornoni, Jesús Martínez Gómez

IEEE-Inst Electrical Electronics Engineers Inc2015

Characterization of a Benchmark Database for Myoelectric Movement Classification

Barbara Caputo, Ilja Kuzborskij

In this paper, we characterize the Ninapro database and its use as a benchmark for hand prosthesis evaluation. The database is a publicly available resource that aims to support research on advanced myoelectric hand prostheses. The database is obtained by ...

2015

A Deeper Look at Dataset Bias

Tatiana Tommasi, Barbara Caputo, Novi Patricia

The presence of a bias in each image data collection has recently attracted a lot of attention in the computer vision community showing the limits in generalization of any learning method trained on a specific dataset. At the same time, with the rapid deve ...

Springer Int Publishing Ag2015

The Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-based Hand Movement Classification

Barbara Caputo

There has been increasing interest in applying learning algorithms to improve the dexterity of myoelectric prostheses. In this work, we present a large-scale benchmark evaluation on the second iteration of the publicly released NinaPro database, which cont ...

2014

Stable Myoelectric Control of a Hand Prosthesis using Non-Linear Incremental Learning

Barbara Caputo

Stable myoelectric control of hand prostheses remains an open problem. The only successful human–machine interface is surface electromyography, typically allowing control of a few degrees of freedom. Machine learning techniques may have the potential to re ...

2014

Improving Control of Dexterous Hand Prostheses Using Adaptive Learning

Tatiana Tommasi, Barbara Caputo

At the time of this writing, the main means of control for polyarticulated self-powered hand prostheses is surface electromyography (sEMG). In the clinical setting, data collected from two electrodes are used to guide the hand movements selecting among a f ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Using Object Affordances to Improve Object Recognition

Tatiana Tommasi, Barbara Caputo

2011

Towards semi-supervised learning of semantic spatial concepts for mobile robots

Barbara Caputo, Jesús Martínez Gómez

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learn ...

2011

A realistic benchmark for visual indoor place recognition

Barbara Caputo

An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate local specific services. Recent advances in vision have made this modality a via ...

Elsevier2010

On-line independent support vector machines

Barbara Caputo

Support vector machines (SVMs) are one of the most successful algorithms for classification. However, due to their space and time requirements, they are not suitable for on-line learning, that is, when presented with an endless stream of training observati ...

2010

COLD: The COsy Localization Database

Barbara Caputo

2009

Bounded Kernel-Based Online Learning

Barbara Caputo

2009

Classifying Material in the Real World

Barbara Caputo

Classifying materials from their appearance is challenging. Impressive results have been obtained under varying illumination and pose conditions. Still, the effect of scale variations and the possibility to generalise across different material samples are ...

2009

Discriminative cue integration for medical image annotation

Tatiana Tommasi, Barbara Caputo

Automatic annotation of medical images is an increasingly important tool for physicians in their daily activity. Hospitals nowadays produce an increasing amount of data. Manual annotation is very costly and prone to human mistakes. This paper proposes a mu ...

2008

Class specific object recognition using kernel Gibbs distributions

Barbara Caputo

2008

Local velocity-adapted motion events for spatio-temporal recognition

Barbara Caputo

In this paper we address the problem in motion recognition using event-based local motion representations. We assume that similar patterns of motion contain similar events with consistent motion across image sequences. Using this assumption, we formulate t ...

2007

Spin Glass Models of Markov Random Fields

Barbara Caputo

This paper presents a novel algorithm for robust object recognition. We propose to model the visual appearance of objects via probability density functions. The algorithm consists of a fully connected Markov random field with energy function derived from r ...

2006