Induced permutations for approximate metric search
Permutation-based Indexing (PBI) approaches have been proven to be particularly effective
for conducting large-scale approximate metric searching. These methods rely on the idea of …
for conducting large-scale approximate metric searching. These methods rely on the idea of …
On generalizing permutation-based representations for approximate search
In the domain of approximate metric search, the Permutation-based Indexing (PBI)
approaches have been proved to be particularly suitable for dealing with large data …
approaches have been proved to be particularly suitable for dealing with large data …
Similarity search with the distance density model
The metric space model of similarity has become a standard formal paradigm of generic
similarity search engine implementations. However, the constraints of identity and symmetry …
similarity search engine implementations. However, the constraints of identity and symmetry …
nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces
Dimensionality reduction techniques map values from a high dimensional space to one with
a lower dimension. The result is a space which requires less physical memory and has a …
a lower dimension. The result is a space which requires less physical memory and has a …
A Novel Redundant Data Retrieval Model based on Parallel Batch Algorithm
C Wei, L Qingbo, DE Na… - … Conference on Inventive …, 2023 - ieeexplore.ieee.org
For the effective information retrieval models, traditional unsupervised cross-modal hashing
methods try to learn hash functions from the underlying structure, distribution, and …
methods try to learn hash functions from the underlying structure, distribution, and …
On the Similarity Search With Hamming Space Sketches
This chapter focuses on data searching, which is nowadays mostly based on similarity. The
similarity search is challenging due to its computational complexity, and also the fact that …
similarity search is challenging due to its computational complexity, and also the fact that …
收敛交叉映射方法及其在生态学中的应用.
王丹雨， 朱媛君， 杨晓晖 - Yingyong Shengtai Xuebao, 2021 - search.ebscohost.com
摘要收敛交叉映射(CCM) 是一种分析非线性系统中时间序列变量间因果关系的方法.
其不同于传统的线性系统分析方法, 是通过对变量进行状态空间重构来获取变量的历史信息 …
其不同于传统的线性系统分析方法, 是通过对变量进行状态空间重构来获取变量的历史信息 …
[PDF][PDF] On Generalizing Permutation-Based Representations for Approximate Search
G Amato - sisap.org
In the domain of approximate metric search, the Permutationbased Indexing (PBI)
approaches have been proved to be particularly suitable for dealing with large data …
approaches have been proved to be particularly suitable for dealing with large data …
[PDF][PDF] AIMIR Research Activities 2019
Abstract The Artificial Intelligence for Multimedia Information Retrieval (AIMIR) research
group is part of the NeMIS laboratory of the Information Science and Technologies Institute …
group is part of the NeMIS laboratory of the Information Science and Technologies Institute …