40 citations · 131 across the 18 of their papers we have counts for
5 papers · 1 filter
Full-Network Embedding in a Multimodal Embedding Pipeline
Armand Vilalta, Dario Garcia-Gasulla, Ferran Parés +4
The current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representatio…
Building Graph Representations of Deep Vector Embeddings
Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés +5
Patterns stored within pre-trained deep neural networks compose large and powerful descriptive languages that can be used for many different purposes. Typically, deep network repre…
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks
Dario Garcia-Gasulla, Armand Vilalta, Ferran Parés +5
Transfer learning for feature extraction can be used to exploit deep representations in contexts where there is very few training data, where there are limited computational resour…
Fluid Communities: A Competitive, Scalable and Diverse Community Detection Algorithm
Ferran Parés, Dario Garcia-Gasulla, Armand Vilalta +5
We introduce a community detection algorithm (Fluid Communities) based on the idea of fluids interacting in an environment, expanding and contracting as a result of that interactio…
On the Behavior of Convolutional Nets for Feature Extraction
Dario Garcia-Gasulla, Ferran Parés, Armand Vilalta +5
Deep neural networks are representation learning techniques. During training, a deep net is capable of generating a descriptive language of unprecedented size and detail in machine…