Search Results - "Bianconcini, Tommaso"

A cubic regularization algorithm for unconstrained optimization using line search and nonmonotone techniques by Bianconcini, Tommaso, Sciandrone, Marco

“…In recent years, cubic regularization algorithms for unconstrained optimization have been defined as alternatives to trust-region and line search schemes…”
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Deep Crash Detection From Vehicular Sensor Data With Multimodal Self-Supervision by Kubin, Luca, Bianconcini, Tommaso, de Andrade, Douglas Coimbra, Simoncini, Matteo, Taccari, Leonardo, Sambo, Francesco

“…The ability to detect vehicle accidents from on-board sensor data is of the utmost importance to provide prompt assistance to prevent injuries and fatalities…”
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On the use of iterative methods in cubic regularization for unconstrained optimization by Bianconcini, Tommaso, Liuzzi, Giampaolo, Morini, Benedetta, Sciandrone, Marco

“…In this paper we consider the problem of minimizing a smooth function by using the adaptive cubic regularized (ARC) framework. We focus on the computation of…”
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Exploiting sets of independent moves in VRP by Bianconcini, Tommaso, Di Lorenzo, David, Lori, Alessandro, Schoen, Fabio, Taccari, Leonardo

“…Most heuristic methods for VRP and its variants are based on the partial exploration of large neighborhoods, typically by means of single, simple moves applied…”
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Cross-model temporal cooperation via saliency maps for efficient frame classification by Trinci, Tomaso, Bianconcini, Tommaso, Sarti, Leonardo, Taccari, Leonardo, Sambo, Francesco

“…Minimizing the energy consumption of deep learning models is becoming essential due to the increasing pervasiveness of connected and mobile devices. Real-time…”
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Cross-Model Temporal Cooperation Via Saliency Maps for Efficient Recognition and Classification of Relevant Traffic Lights by Trinci, Tomaso, Bianconcini, Tommaso, Sarti, Leonardo, Taccari, Leonardo, Sambo, Francesco

“…Recognizing the state of relevant traffic lights when a vehicle is approaching an intersection is a challenging task for advanced driver-assistance systems…”
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