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12/06/2019
Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles
Motivated by the promising advances of deep-reinforcement learning (DRL)...
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08/06/2019
A fast multi-object tracking system using an object detector ensemble
Multiple-Object Tracking (MOT) is of crucial importance for applications...
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04/28/2018
Learning from multivariate discrete sequential data using a restricted Boltzmann machine model
A restricted Boltzmann machine (RBM) is a generative neural-network mode...
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08/14/2017
Collaborative Filtering using Denoising Auto-Encoders for Market Basket Data
Recommender systems (RS) help users navigate large sets of items in the ...
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04/28/2016
A Probabilistic Adaptive Search System for Exploring the Face Space
Face recall is a basic human cognitive process performed routinely, e.g....
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04/04/2016