Alejandro Moreo Fernandez

Alejandro Moreo Fernandez
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Alejandro Moreo Fernandez

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Computer Science - Computer Vision and Pattern Recognition (2)
Computer Science - Software Engineering (2)
Computer Science - Neural and Evolutionary Computing (1)
Computer Science - Computation and Language (1)
Computer Science - Information Retrieval (1)

Publications Authored By Alejandro Moreo Fernandez

The recently proposed stochastic residual networks selectively activate or bypass the layers during training, based on independent stochastic choices, each of which following a probability distribution that is fixed in advance. In this paper we present a first exploration on the use of an epoch-dependent distribution, starting with a higher probability of bypassing deeper layers and then activating them more frequently as training progresses. Preliminary results are mixed, yet they show some potential of adding an epoch-dependent management of distributions, worth of further investigation. Read More

In this paper we tackle the problem of image search when the query is a short textual description of the image the user is looking for. We choose to implement the actual search process as a similarity search in a visual feature space, by learning to translate a textual query into a visual representation. Searching in the visual feature space has the advantage that any update to the translation model does not require to reprocess the, typically huge, image collection on which the search is performed. Read More

Recently, the awareness of the importance of distributed software development has been growing in the software engineering community. Economic constraints, more and more outsourcing of development activities, and the increasing spatial distribution of companies come along with challenges of how to organize distributed development. In this article, we reason that a common process understanding is mandatory for successful distributed development. Read More

Software is among the most complex endeavors of the human mind; large scale systems can have tens of millions of lines of source code. However, seldom is complexity measured above the lowest level of code, and sometimes source code files or low level modules. In this paper a hierarchical approach is explored in order to find a set of metrics that can measure higher levels of organization. Read More