Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Salles, Marcos Antonio Vaz"'
Autor:
Lülf, Christian, Martins, Denis Mayr Lima, Salles, Marcos Antonio Vaz, Zhou, Yongluan, Gieseke, Fabian
The advent of text-image models, most notably CLIP, has significantly transformed the landscape of information retrieval. These models enable the fusion of various modalities, such as text and images. One significant outcome of CLIP is its capability
Externí odkaz:
http://arxiv.org/abs/2406.13322
Autor:
Lülf, Christian, Martins, Denis Mayr Lima, Salles, Marcos Antonio Vaz, Zhou, Yongluan, Gieseke, Fabian
Data exploration and analysis in various domains often necessitate the search for specific objects in massive databases. A common search strategy, often known as search-by-classification, resorts to training machine learning models on small sets of p
Externí odkaz:
http://arxiv.org/abs/2309.15617
Autor:
Lülf, Christian, Martins, Denis Mayr Lima, Salles, Marcos Antonio Vaz, Zhou, Yongluan, Gieseke, Fabian
The vast amounts of data collected in various domains pose great challenges to modern data exploration and analysis. To find "interesting" objects in large databases, users typically define a query using positive and negative example objects and trai
Externí odkaz:
http://arxiv.org/abs/2306.02670
Over the past decade, we have witnessed a dramatic evolution in main-memory capacity and multi-core parallelism of server hardware. To leverage this hardware potential, multi-core in-memory OLTP database systems have been extensively re-designed. The
Externí odkaz:
http://arxiv.org/abs/2204.10743
Autor:
Laigner, Rodrigo, Zhou, Yongluan, Salles, Marcos Antonio Vaz, Liu, Yijian, Kalinowski, Marcos
Microservices have become a popular architectural style for data-driven applications, given their ability to functionally decompose an application into small and autonomous services to achieve scalability, strong isolation, and specialization of data
Externí odkaz:
http://arxiv.org/abs/2103.00170
Autor:
Liu, Yizhong, Liu, Jianwei, Salles, Marcos Antonio Vaz, Zhang, Zongyang, Li, Tong, Hu, Bin, Henglein, Fritz, Lu, Rongxing
Sharding is the prevalent approach to breaking the trilemma of simultaneously achieving decentralization, security, and scalability in traditional blockchain systems, which are implemented as replicated state machines relying on atomic broadcast for
Externí odkaz:
http://arxiv.org/abs/2102.13364
Autor:
Bonifati, Angela, Guerrini, Giovanna, Lutz, Carsten, Martens, Wim, Mazilu, Lara, Paton, Norman, Salles, Marcos Antonio Vaz, Scholl, Marc H., Zhou, Yongluan
The joint EDBT/ICDT conference (International Conference on Extending Database Technology/International Conference on Database Theory) is a well established conference series on data management, with annual meetings in the second half of March that a
Externí odkaz:
http://arxiv.org/abs/2004.07668
Autor:
Oehmcke, Stefan, Thrysøe, Christoffer, Borgstad, Andreas, Salles, Marcos Antonio Vaz, Brandt, Martin, Gieseke, Fabian
Massive amounts of satellite data have been gathered over time, holding the potential to unveil a spatiotemporal chronicle of the surface of Earth. These data allow scientists to investigate various important issues, such as land use changes, on a gl
Externí odkaz:
http://arxiv.org/abs/1912.05026
Interactive data-intensive applications are becoming ever more pervasive in domains such as finance, web applications, mobile computing, and Internet of Things. Increasingly, these applications are being deployed in sophisticated parallel and distrib
Externí odkaz:
http://arxiv.org/abs/1707.06507
The requirements for OLTP database systems are becoming ever more demanding. Domains such as finance and computer games increasingly mandate that developers be able to encode complex application logic and control transaction latencies in in-memory da
Externí odkaz:
http://arxiv.org/abs/1701.05397