Large-scale instance-level image retrieval
The great success of visual features learned from deep neural networks has led to a
significant effort to develop efficient and scalable technologies for image retrieval …
significant effort to develop efficient and scalable technologies for image retrieval …
In order to speed up similarity query evaluation, index structures divide the target dataset
into subsets aimed at finding the answer without examining the entire dataset. As the …
into subsets aimed at finding the answer without examining the entire dataset. As the …
Metric Space Indices for Dynamic Optimization in a Peer to Peer-Based Image Classification Crowdsourcing Platform
Large-scale computer platforms that process users' online requests must be capable of
handling unexpected spikes in arrival rates. These platforms, which are composed of …
handling unexpected spikes in arrival rates. These platforms, which are composed of …
Similarity search for an extreme application: experience and implementation
Contemporary challenges for efficient similarity search include complex similarity functions,
the curse of dimensionality, and large sizes of descriptive features of data objects. This …
the curse of dimensionality, and large sizes of descriptive features of data objects. This …
A case study in computational caching microservices for HPC
A case study is presented that provides computation caching (memoization) through a
microservice architecture to high-performance computing (HPC) applications, particularly …
microservice architecture to high-performance computing (HPC) applications, particularly …
A survey on effective similarity search models and techniques for big data processing in healthcare system
PS Sundari, M Subaji… - Research Journal of …, 2017 - indianjournals.com
In traditional DBMS system handled well structured and no two elements occur twice. But
more than one occurrence is quite natural in big data processing. Moreover last decades …
more than one occurrence is quite natural in big data processing. Moreover last decades …
Similarity searching for the big data: Challenges and research objectives
P Zezula - Mobile Networks and Applications, 2015 - Springer
Abstract Analysis of contemporary Big Data collections require an effective and efficient
content-based access to data which is usually unstructured. This first implies a necessity to …
content-based access to data which is usually unstructured. This first implies a necessity to …