5 citations · 9 across the 3 of their papers we have counts for
4 papers
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…
Identifying the potential of Near Data Computing for Apache Spark
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics…
Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics…