Politecnico di Milano

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Augmented Replay Memory in Reinforcement Learning With Continuous Control

Online reinforcement learning agents are currently able to process an in...
12/29/2019 ∙ by Mirza Ramicic, et al. ∙ 13 ∙ share

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Attention Mechanisms for Object Recognition with Event-Based Cameras

Event-based cameras are neuromorphic sensors capable of efficiently enco...
07/25/2018 ∙ by Marco Cannici, et al. ∙ 6 ∙ share

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On the bias of H-scores for comparing biclusters, and how to correct it

In the last two decades several biclustering methods have been developed...
07/24/2019 ∙ by Jacopo Di Iorio, et al. ∙ 6 ∙ share

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Deep Learning for Time Series Forecasting: The Electric Load Case

Management and efficient operations in critical infrastructure such as S...
07/22/2019 ∙ by Alberto Gasparin, et al. ∙ 5 ∙ share

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Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches

Deep learning techniques have become the method of choice for researcher...
07/16/2019 ∙ by Maurizio Ferrari Dacrema, et al. ∙ 4 ∙ share

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Dense 3D Visual Mapping via Semantic Simplification

Dense 3D visual mapping estimates as many as possible pixel depths, for ...
02/20/2019 ∙ by Luca Morreale, et al. ∙ 2 ∙ share

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Scenario optimization with relaxation: a new tool for design and application to machine learning problems

Scenario optimization is by now a well established technique to perform ...
04/13/2020 ∙ by Marco C. Campi, et al. ∙ 1 ∙ share

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Cost-Sensitive Approach to Batch Size Adaptation for Gradient Descent

In this paper, we propose a novel approach to automatically determine th...
12/09/2017 ∙ by Matteo Pirotta, et al. ∙ 0 ∙ share

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Computational Results for Extensive-Form Adversarial Team Games

We provide, to the best of our knowledge, the first computational study ...
11/18/2017 ∙ by Andrea Celli, et al. ∙ 0 ∙ share

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Methods for finding leader--follower equilibria with multiple followers

The concept of leader--follower (or Stackelberg) equilibrium plays a cen...
07/07/2017 ∙ by Nicola Basilico, et al. ∙ 0 ∙ share

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Viral Search algorithm

The article, after a brief introduction on genetic algorithms and their ...
06/14/2016 ∙ by Matteo Gardini, et al. ∙ 0 ∙ share

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A guide to convolution arithmetic for deep learning

We introduce a guide to help deep learning practitioners understand and ...
03/23/2016 ∙ by Vincent Dumoulin, et al. ∙ 0 ∙ share

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Determination of the edge of criticality in echo state networks through Fisher information maximization

It is a widely accepted fact that the computational capability of recurr...
03/11/2016 ∙ by Lorenzo Livi, et al. ∙ 0 ∙ share

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Concept Drift and Anomaly Detection in Graph Streams

Graph representations offer powerful and intuitive ways to describe data...
06/21/2017 ∙ by Daniele Zambon, et al. ∙ 0 ∙ share

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A Solution for Crime Scene Reconstruction using Time-of-Flight Cameras

In this work, we propose a method for three-dimensional (3D) reconstruct...
08/07/2017 ∙ by Silvio Giancola, et al. ∙ 0 ∙ share

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Team-maxmin equilibrium: efficiency bounds and algorithms

The Team-maxmin equilibrium prescribes the optimal strategies for a team...
11/18/2016 ∙ by Nicola Basilico, et al. ∙ 0 ∙ share

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Convergence of the Forward-Backward Algorithm: Beyond the Worst Case with the Help of Geometry

We provide a comprehensive study of the convergence of forward-backward ...
03/28/2017 ∙ by Guillaume Garrigos, et al. ∙ 0 ∙ share

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Multi-resource defensive strategies for patrolling games with alarm systems

Security Games employ game theoretical tools to derive resource allocati...
06/07/2016 ∙ by Nicola Basilico, et al. ∙ 0 ∙ share

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Unimodal Thompson Sampling for Graph-Structured Arms

We study, to the best of our knowledge, the first Bayesian algorithm for...
11/17/2016 ∙ by Stefano Paladino, et al. ∙ 0 ∙ share

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Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation Supplementary Material

This document contains supplementary material for the paper "Multi-objec...
06/13/2014 ∙ by Matteo Pirotta, et al. ∙ 0 ∙ share

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Robust Moving Objects Detection in Lidar Data Exploiting Visual Cues

Detecting moving objects in dynamic scenes from sequences of lidar scans...
09/29/2016 ∙ by Gheorghii Postica, et al. ∙ 0 ∙ share

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Reduced Memory Region Based Deep Convolutional Neural Network Detection

Accurate pedestrian detection has a primary role in automotive safety: f...
09/08/2016 ∙ by Denis Tome, et al. ∙ 0 ∙ share

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Simulated Car Racing Championship: Competition Software Manual

This manual describes the competition software for the Simulated Car Rac...
04/05/2013 ∙ by Daniele Loiacono, et al. ∙ 0 ∙ share

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Automatic 3D Reconstruction of Manifold Meshes via Delaunay Triangulation and Mesh Sweeping

In this paper we propose a new approach to incrementally initialize a ma...
04/21/2016 ∙ by Andrea Romanoni, et al. ∙ 0 ∙ share

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Incremental Reconstruction of Urban Environments by Edge-Points Delaunay Triangulation

Urban reconstruction from a video captured by a surveying vehicle consti...
04/21/2016 ∙ by Andrea Romanoni, et al. ∙ 0 ∙ share

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One-class classifiers based on entropic spanning graphs

One-class classifiers offer valuable tools to assess the presence of out...
04/08/2016 ∙ by Lorenzo Livi, et al. ∙ 0 ∙ share

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First Steps Toward Camera Model Identification with Convolutional Neural Networks

Detecting the camera model used to shoot a picture enables to solve a wi...
03/03/2016 ∙ by Luca Bondi, et al. ∙ 0 ∙ share

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Deep convolutional neural networks for pedestrian detection

Pedestrian detection is a popular research topic due to its paramount im...
10/13/2015 ∙ by Denis Tome, et al. ∙ 0 ∙ share

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Transfer from Multiple MDPs

Transfer reinforcement learning (RL) methods leverage on the experience ...
08/31/2011 ∙ by Alessandro Lazaric, et al. ∙ 0 ∙ share

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Efficient moving point handling for incremental 3D manifold reconstruction

As incremental Structure from Motion algorithms become effective, a good...
07/20/2015 ∙ by Andrea Romanoni, et al. ∙ 0 ∙ share

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Semi-Supervised Information-Maximization Clustering

Semi-supervised clustering aims to introduce prior knowledge in the deci...
04/30/2013 ∙ by Daniele Calandriello, et al. ∙ 0 ∙ share

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Learning Sets with Separating Kernels

We consider the problem of learning a set from random samples. We show h...
04/16/2012 ∙ by Ernesto De Vito, et al. ∙ 0 ∙ share

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V-cycle multigrid algorithms for discontinuous Galerkin methods on non-nested polytopic meshes

In this paper we analyse the convergence properties of V-cycle multigrid...
09/26/2017 ∙ by P. F. Antonietti, et al. ∙ 0 ∙ share

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Sum-Rate Analysis for High Altitude Platform (HAP) Drones with Tethered Balloon Relay

High altitude platform (HAP) drones can provide broadband wireless conne...
12/18/2017 ∙ by P. G. Sudheesh, et al. ∙ 0 ∙ share

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Current Challenges and Visions in Music Recommender Systems Research

Music recommender systems (MRS) have experienced a boom in recent years,...
10/09/2017 ∙ by Markus Schedl, et al. ∙ 0 ∙ share

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A fully semi-Lagrangian discretization for the 2D Navier--Stokes equations in the vorticity--streamfunction formulation

A numerical method for the two-dimensional, incompressible Navier--Stoke...
06/10/2017 ∙ by Luca Bonaventura, et al. ∙ 0 ∙ share

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On the "persistency" of scientific publications: introducing an h-index for journals

What do we really mean by a "good" scientific journal? Do we care more a...
05/23/2017 ∙ by Roberto Piazza, et al. ∙ 0 ∙ share

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Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation

Item features play an important role in movie recommender systems, where...
04/20/2017 ∙ by Yashar Deldjoo, et al. ∙ 0 ∙ share

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Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques and Assurance Actions

Crowdsourcing enables one to leverage on the intelligence and wisdom of ...
01/08/2018 ∙ by Florian Daniel, et al. ∙ 0 ∙ share

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Real-time CPU-based large-scale 3D mesh reconstruction

In Robotics, especially in this era of autonomous driving, mapping is on...
01/16/2018 ∙ by Enrico Piazza, et al. ∙ 0 ∙ share

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Virtual-Mobile-Core Placement for Metro Network

Traditional highly-centralized mobile core networks (e.g., Evolved Packe...
01/17/2018 ∙ by Abhishek Gupta, et al. ∙ 0 ∙ share

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A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot

The problem of gas detection is relevant to many real-world applications...
01/21/2018 ∙ by Riccardo Polvara, et al. ∙ 0 ∙ share

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LEDAkem: a post-quantum key encapsulation mechanism based on QC-LDPC codes

This work presents a new code-based key encapsulation mechanism (KEM) ca...
01/26/2018 ∙ by Marco Baldi, et al. ∙ 0 ∙ share

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High order time integrators for the simulation of charged particle motion in magnetic quadrupoles

Magnetic quadrupoles are essential components of particle accelerators l...
02/22/2018 ∙ by Abele Simona, et al. ∙ 0 ∙ share

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Sequence-Aware Recommender Systems

Recommender systems are one of the most successful applications of data ...
02/23/2018 ∙ by Massimo Quadrana, et al. ∙ 0 ∙ share

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Limiting gaming opportunities on incentive-based demand response programs

Demand Response (DR) is a program designed to match supply and demand by...
02/23/2018 ∙ by José Vuelvas, et al. ∙ 0 ∙ share

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Discovering Bayesian Market Views for Intelligent Asset Allocation

Along with the advance of opinion mining techniques, public mood has bee...
02/27/2018 ∙ by Frank Z. Xing, et al. ∙ 0 ∙ share

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A Survey on Application of Machine Learning Techniques in Optical Networks

Today, the amount of data that can be retrieved from communications netw...
03/21/2018 ∙ by Francesco Musumeci, et al. ∙ 0 ∙ share

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On the Computation of Kantorovich-Wasserstein Distances between 2D-Histograms by Uncapacitated Minimum Cost Flows

In this work, we present a method to compute the Kantorovich distance, t...
04/02/2018 ∙ by Federico Bassetti, et al. ∙ 0 ∙ share

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Analysis and development of a novel algorithm for the in-vehicle hand-usage of a smartphone

Smartphone usage while driving is unanimously considered to be a really ...
04/06/2018 ∙ by Simone Gelmini, et al. ∙ 0 ∙ share

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