-
Article
Are occupational repetitive movements of the upper arm associated with rotator cuff calcific tendinopathies?
Calcifying tendinopathy (CT) of the shoulder is a common painful disorder, although the etiology and pathogenesis remain largely unknown. Recent theories about the role of excessive mechanical load in the gene...
-
Chapter and Conference Paper
Unsupervised News Video Segmentation by Combined Audio-Video Analysis
Segmenting news video into stories is among key issues for achieving efficient treatment of news-based digital libraries. In this paper we present a novel unsupervised algorithm that combines audio and video i...
-
Chapter and Conference Paper
A Graph-Based Method for Detecting and Classifying Clusters in Mammographic Images
In this paper we propose a method based on a graph-theoretical cluster analysis for automatically finding and classifying clusters of microcalcifications in mammographic images, starting from the output of a m...
-
Chapter and Conference Paper
A Multi-stage Approach for Anchor Shot Detection
In this paper we present a novel algorithm for anchor shot detection (ASD). ASD is a fundamental step for segmenting news video into stories that is among key issues for achieving efficient treatment of news-b...
-
Chapter and Conference Paper
An Improved Algorithm for Anchor Shot Detection
Segmentation of news videos into stories is among key issues for achieving efficient treatment of news-based digital libraries. Indeed, anchor shot detection is a fundamental step for segmenting news into stor...
-
Chapter and Conference Paper
Combining Genetic-Based Misuse and Anomaly Detection for Reliably Detecting Intrusions in Computer Networks
When addressing the problem of detecting malicious activities within network traffic, one of the main concerns is the reliability of the packet classification. Furthermore, a system able to detect the so-called z...
-
Chapter and Conference Paper
Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation
In this paper we propose an innovative combination strategy for a system using video and audio stream of a news video to automatically segment it into stories. In our approach, the segmentation is performed in...
-
Chapter and Conference Paper
Using Behavior Knowledge Space and Temporal Information for Detecting Intrusions in Computer Networks
Pattern Recognition (PR) techniques have proven their ability for detecting malicious activities within network traffic. Systems based on multiple classifiers can further enforce detection capabilities by comb...
-
Article
Combining experts for anchorperson shot detection in news videos
Automatic classification of shots extracted by news videos plays an important role in the context of news video segmentation, which is an essential step towards effective indexing of broadcasters’ digital data...
-
Chapter and Conference Paper
A Multi-expert Approach for Shot Classification in News Videos
In this paper we propose a multi-expert approach for anchor shot detection in news videos. The proposed Multi-Expert System (MES) combines three algorithms selected among those presented in the literature that...
-
Chapter and Conference Paper
A Comparison of Three Maximum Common Subgraph Algorithms on a Large Database of Labeled Graphs
A graph g is called a maximum common subgraph of two graphs, g 1 and g 2, if there exists no other common subgraph of g 1 and g ...
-
Chapter and Conference Paper
A Multi-expert System for Movie Segmentation
In this paper we present a system for movie segmentation based on the automatic detection of dialogue scenes.
-
Chapter and Conference Paper
Prototyping Structural Shape Descriptions by Inductive Learning
In this paper, a novel algorithm for learning structured descriptions, ascribable to the category of symbolic techniques, is proposed. It faces the problem directly in the space of the graphs, by defining the ...
-
Chapter and Conference Paper
Automatic Classification of Clustered Microcalcifications by a Multiple Classifier System
Mammography is a not invasive diagnostic technique widely used for early detection of breast cancer. One of the main indicants of cancer is the presence of microcalcifications, i.e. small calcium accumulations...
-
Chapter and Conference Paper
A Neural Multi -Expert Classification System for MPEG Audio Segmentation
The current research efforts in the field of video parsing and analysis are mainly focused on the use of pictorial information, while neglecting an important supplementary source of content information such as...
-
Article
Signature Verification: Increasing Performance by a Multi-Stage System
A serial three stage multi-expert system for facing the problem of signature verification is proposed. The whole decision process is organised into successive stages, each using a very reduced set of features ...
-
Chapter and Conference Paper
A Cascaded Multiple Expert System for Verification
In this paper we propose a multi-expert architecture, particularly suited for verification systems, which attempts to offer the performance advantages of a serial approach while retaining the reliability of a ...
-
Article
Reliability Parameters to Improve Combination Strategies in Multi-Expert Systems
Recognition systems based on a combination of different experts have been widely investigated in the recent past. General criteria for improving the performance of such systems are based on estimating the rel...
-
Article
Definition and Validation of a Distance Measure Between Structural Primitives
This paper proposes a structural description scheme using second order primitives, in particular circular arcs. In this framework, a distance measure between pairs of circular arcs and relations among them is...
-
Chapter and Conference Paper
Subgraph Transformations for the Inexact Matching of Attributed Relational Graphs
An inexact matching algorithm for Attributed Relational Graphs is presented: according to it, two graphs are considered similar if, by using a defined set of syntactic and semantic transformations, they can be...