A survey of binary code fingerprinting approaches: taxonomy, methodologies, and features
Binary code fingerprinting is crucial in many security applications. Examples include
malware detection, software infringement, vulnerability analysis, and digital forensics. It is …
malware detection, software infringement, vulnerability analysis, and digital forensics. It is …
Inter-media hashing for large-scale retrieval from heterogeneous data sources
In this paper, we present a new multimedia retrieval paradigm to innovate large-scale
search of heterogenous multimedia data. It is able to return results of different media types …
search of heterogenous multimedia data. It is able to return results of different media types …
Deep learning for approximate nearest neighbour search: A survey and future directions
Approximate nearest neighbour search (ANNS) in high-dimensional space is an essential
and fundamental operation in many applications from many domains such as multimedia …
and fundamental operation in many applications from many domains such as multimedia …
Query-aware locality-sensitive hashing for approximate nearest neighbor search
Locality-Sensitive Hashing (LSH) and its variants are the well-known indexing schemes for
the c-Approximate Nearest Neighbor (c-ANN) search problem in high-dimensional …
the c-Approximate Nearest Neighbor (c-ANN) search problem in high-dimensional …
Effective multiple feature hashing for large-scale near-duplicate video retrieval
Near-duplicate video retrieval (NDVR) has recently attracted much research attention due to
the exponential growth of online videos. It has many applications, such as copyright …
the exponential growth of online videos. It has many applications, such as copyright …
{µTune}:{Auto-Tuned} Threading for {OLDI} Microservices
A Sriraman, TF Wenisch - … Symposium on Operating Systems Design and …, 2018 - usenix.org
Modern On-Line Data Intensive (OLDI) applications have evolved from monolithic systems to
instead comprise numerous, distributed microservices interacting via Remote Procedure …
instead comprise numerous, distributed microservices interacting via Remote Procedure …
μ suite: a benchmark suite for microservices
A Sriraman, TF Wenisch - 2018 ieee international symposium …, 2018 - ieeexplore.ieee.org
Modern On-Line Data Intensive (OLDI) applications have evolved from monolithic systems to
instead comprise numerous, distributed microservices interacting via Remote Procedure …
instead comprise numerous, distributed microservices interacting via Remote Procedure …
Locality-sensitive hashing scheme based on dynamic collision counting
Locality-Sensitive Hashing (LSH) and its variants are well-known methods for solving the c-
approximate NN Search problem in high-dimensional space. Traditionally, several LSH …
approximate NN Search problem in high-dimensional space. Traditionally, several LSH …
Return of the lernaean hydra: Experimental evaluation of data series approximate similarity search
Data series are a special type of multidimensional data present in numerous domains,
where similarity search is a key operation that has been extensively studied in the data …
where similarity search is a key operation that has been extensively studied in the data …
SRS: solving c-approximate nearest neighbor queries in high dimensional euclidean space with a tiny index
Nearest neighbor searches in high-dimensional space have many important applications in
domains such as data mining, and multimedia databases. The problem is challenging due to …
domains such as data mining, and multimedia databases. The problem is challenging due to …