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Now showing items 31-38 of 38
Image-based family verification in the wild
(2017-09-15)
Facial image analysis has been an important subject of study in the communities of pat-
tern recognition and computer vision. Facial images contain much information about the
person they belong to: identity, age, gender, ...
Accommodations deduplication
(2018-09-25)
The problem to address is the accommodations deduplication. The deduplication is
a special case of entity resolution (ER) consisting in grouping different representa-
tions of the same entity, usually coming from different ...
Statistical natural language generation for dialogue systems based on hierarchical models
(2014-09-25)
Due to the increasing presence of natural-language interfaces in our life, natural
language processing (NLP) is currently gaining more popularity every year.
However, until recently, the main part of the research activity ...
Dialog Systems based on Markov decision processes over two real tasks
(2013-06-12)
In this work the state of the art of the automatic dialogue strategy
management using Markov decision processes (MDP) with reinforcement
learning (RL) is described. Partially observable Markov decision processes
(POMDP) ...
Study of an object recognition algorithm
(2013-06-12)
This project introduces an improvement of the vision capacity of the robot Robotino
operating under ROS platform.
A method for recognizing object class using binary features has been developed. The
proposed method ...
Building a predictive model for Kaggle's “Home Depot Product Search Relevance” Competition
(2016-10-14)
The present work analyses different techniques in order to build a predictive model that could be able to solve the Kaggle’s competition called “Home Depot Product Search Relevance”. Several NLP methods were used for data ...
Stimulation discomfort comparison of asynchronous and synchronous methods with multi-field electrodes
(2013-06-27)
Functional Electrical Stimulation (FES) is a technique that consists on
applying electrical current pulses to artificially activate motor nerve fibers and
produce muscle contractions to achieve functional movements. The ...
Massive finite element computations for deep learning inversion
(2019-09-24)
We focus on the inversion of borehole resistivity measurements in real time. To perform
this task, we propose the use of Deep Learning methods. One critical task on this en-
deavor is to produce a large database that can ...