Browsing by Author "Pelillo, Marcello"

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Browsing by Author "Pelillo, Marcello"

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  • Face recognition on embedded devices: a proof of concept for residential application 
    Petricca, Marco <1984> (Università Ca' Foscari Venezia, 2020-03-13)
    Face recognition is a well-known technique with a wide range of existing real world applications. Residential systems, like video intercom or security alarm, are instead nearly unfamiliar terrain to such methods with few ...
  • Feature Selection using Dominant-Set Clustering 
    Nguyen, Minh Phu <1988> (Università Ca' Foscari Venezia, 2016-03-09)
    Feature selection techniques are essentially used in the data analysis tasks, one is frequently dealt with many features. It is computationally expensive to optimize these features that are either redundant and irrelevant. ...
  • Feature Selection Using Neural Network Pruning 
    Scalco, Alberto <1993> (Università Ca' Foscari Venezia, 2019-03-07)
    Feature selection is a well known technique for data prepossessing with the purpose of removing redundant and irrelevant information with the benefits, among others, of an improved generalization and a decreased curse of ...
  • Higher-order clustering with non-uniform hypergraphs 
    Prendin, Roberta <1988> (Università Ca' Foscari Venezia, 2017-03-23)
    In general terms, clustering can be defined as the problem of organizing a finite set of elements into groups in such a way that similar elements belong to the same cluster while dissimilar elements are assigned to different ...
  • Jigsaw Puzzle Solving as a Consistent Labeling Problem 
    Khoroshiltseva, Marina <1979> (Università Ca' Foscari Venezia, ND)
    The thesis aims to develop a methodology for solving complex puzzle problems. In the first part of the research, we explore the idea of abstracting the jigsaw puzzle problem as a consistent labeling problem, a classical ...
  • Matching hypergraphs with game theory 
    Sandi, Giulia <1982> (Università Ca' Foscari Venezia, 2018-07-11)
    The problem of finding isomorphisms, or matching partitions, in hypergraphs has gained increasing interest from the scientific community in the last years, particularly in the Computer Vision field. This is due to the ...
  • Multiobjective Games and Multiple Similarities 
    Mequanint, Eyasu Zemene <1984> (Università Ca' Foscari Venezia, 2013-06-28)
  • Multi-object Multi-camea Tracking 
    Ahmed, Kedir Hamid <1986> (Università Ca' Foscari Venezia, 2015-03-12)
    Abstract Multi-camera multi-target tracking aims at following and assigning a consistent label for the moving targets. Tracking has relevance for practical applications; which ranges from medical to security surveillance. ...
  • Multi-object Multi-camea Tracking 
    Lakew, Surafel Melaku <1987> (Università Ca' Foscari Venezia, 2015-03-12)
    Multi-camera multi-target tracking aims at following and assigning a consistent label for the moving targets. Tracking has relevance for practical applications; which ranges from medical to security surveillance. However; ...
  • Multiple Target Tracking As a Graph Transduction Game 
    Dagnew, Tewodros Mulugeta <1988> (Università Ca' Foscari Venezia, 2013-10-30)
    This thesis talks about a semi-supervised learning applied on tracking multiple people in a video surveillance scenarios as graph transduction based on the notion of game theoretic approach. Graph transduction is a semi ...
  • Multi-target tracking using dominant sets 
    Tesfaye, Yonatan Tariku <1987> (Università Ca' Foscari Venezia, 2014-10-31)
    In this thesis we tried to exploit Dominant set frame work to track multiple people in videos. Since it's unsupervised, given unlabeled patches of the people to follow, we then propose a formulation of the multi-target ...
  • NAM Pruning: Enhance Model Pruning via Network Activations Minimization 
    Lazzaro, Dario <1998> (Università Ca' Foscari Venezia, 2023-03-16)
    Deep neural networks have become an essential tool in machine learning due to their excellent performance. However, their sheer amount of parameters can lead to their infeasible application in limited hardware contexts. ...
  • On Determining the Number of Dominant-Set Clusters 
    Dulecha, Tinsae Gebrechristos <1985> (Università Ca' Foscari Venezia, 2014-10-31)
    Cluster Analysis (Clustering) is the process of finding group of objects where, objects in the same group will be similar (related) to one another and dissimilar from objects in other groups. A fundamental and the major ...
  • On the Robustness of Clustering Algorithms to Adversarial Attacks 
    Cina', Antonio Emanuele <1995> (Università Ca' Foscari Venezia, 2019-07-10)
    Machine learning is becoming more and more used by businesses and private users as an additional tool for aiding in decision making and automation processes. However, over the past few years, there has been an increased ...
  • Philosophical aspects in pattern recognition research 
    Scantamburlo, Teresa <1981> (Università Ca' Foscari Venezia, 2014-03-18)
    Pattern recognition is the discipline which studies theories and methods to build machines that are able to discover regularities in noisy data. As many of its characterizations suggest, the field is usually considered as ...
  • Regular partitions and their use in structural pattern recognition 
    Fiorucci, Marco <1981> (Università Ca' Foscari Venezia, 2019-03-20)
    The huge amount of data generated everyday by different interrelated entities calls for the development of new effective methods to store, retrieve and understand these massive network data. In this thesis, we tackle this ...
  • Retina-inspired random forest for semantic image labelling 
    Lak, Kameran Majeed Mohammed <1985> (Università Ca' Foscari Venezia, 2015-03-12)
    One of the most challenging problem in computer vision community is semantic image labeling, which requires assigning a semantic class to each pixel in an image. In the literature, this problem has been effectively addressed ...
  • Revealing Hierarchical Object Processing in Rat’s Visual System Using Cluster Analysis 
    Parin, Ylenia <1994> (Università Ca' Foscari Venezia, 2018-07-11)
    Being able of recognizing objects despite changes in their appearance is a necessary skill for the vast majority of living beings. Visual systems, such the one of rats, can solve this task without an apparent effort and ...
  • ​​Revealing​ ​Structure in​ ​Graphs Using Regular ​Partitions 
    Elezi, Ismail <1991> (Università Ca' Foscari Venezia, 2016-03-09)
    While originally introduced as a tool in proving a long-standing conjecture on arithmetic progressions, Szemeredi's regularity lemma has emerged over time as a fundamental tool in different branches of discrete mathematics ...
  • Semi-supervised learning and applications : a game-theoretic perspective 
    Vascon, Sebastiano <1982> (Università Ca' Foscari Venezia, 2020-01-31)
    This thesis is focused on semi-supervised learning (SSL) algorithms, a family of methods lying in between supervised and unsupervised learning. The main characteristic of SSL algorithms is that they exploit at the same ...