MHCN: A hyperbolic neural network model for multi-view hierarchical clustering
Multi-view hierarchical clustering (MCHC) plays a pivotal role in comprehending the
structures within multi-view data, which hinges on the skillful interaction between …
structures within multi-view data, which hinges on the skillful interaction between …
A fine-grained recognition neural network with high-order feature maps via graph-based embedding for natural bird diversity conservation
X Xu, CC Yang, Y Xiao, JL Kong - International Journal of Environmental …, 2023 - mdpi.com
The conservation of avian diversity plays a critical role in maintaining ecological balance
and ecosystem function, as well as having a profound impact on human survival and …
and ecosystem function, as well as having a profound impact on human survival and …
Hierarchical clustering in graph streams: Single-pass algorithms and space lower bounds
Abstract The Hierarchical Clustering (HC) problem consists of building a hierarchy of
clusters to represent a given dataset. Motivated by the modern large-scale applications, we …
clusters to represent a given dataset. Motivated by the modern large-scale applications, we …
Robust KPI anomaly detection for large-scale software services with partial labels
To ensure the reliability of software services, operators collect and monitor a large number of
KPI (Key Performance Indicator) streams constantly. KPI anomaly detection is vitally …
KPI (Key Performance Indicator) streams constantly. KPI anomaly detection is vitally …
Cross-lingual text reuse detection at sentence level for English–Urdu language pair
In recent years, the problem of Cross-Lingual Text Reuse Detection (X-TRD) has gained the
interest of researchers due to the availability of large digital repositories and automatic …
interest of researchers due to the availability of large digital repositories and automatic …
Hierarchical clustering of data streams: Scalable algorithms and approximation guarantees
A Rajagopalan, F Vitale, D Vainstein… - International …, 2021 - proceedings.mlr.press
We investigate the problem of hierarchically clustering data streams containing metric data
in R^ d. We introduce a desirable invariance property for such algorithms, describe a …
in R^ d. We introduce a desirable invariance property for such algorithms, describe a …
Contrastive hierarchical clustering
Deep clustering has been dominated by flat models, which split a dataset into a predefined
number of groups. Although recent methods achieve an extremely high similarity with the …
number of groups. Although recent methods achieve an extremely high similarity with the …
Urdu Text Reuse Detection at Phrasal level using Sentence Transformer-based approach
Text reuse is a process of creating new text (s) from pre-existing text (s). In recent years,
Urdu Text Reuse Detection (UTRD) has gained the attention of researchers because the text …
Urdu Text Reuse Detection (UTRD) has gained the attention of researchers because the text …
Mono-lingual text reuse detection for the Urdu language at lexical level
Text reuse is the process of creating new texts from pre-existing ones. In recent years, Urdu
Text Reuse Detection (U-TRD) has garnered the attention of researchers due to the ready …
Text Reuse Detection (U-TRD) has garnered the attention of researchers due to the ready …
Deep image clustering: A survey
H Huang, C Wang, X Wei, Y Zhou - Neurocomputing, 2024 - Elsevier
Deep image clustering networks have the capability to categorize unlabeled images,
thereby effectively utilizing them. This paper synthesizes recent researches about deep …
thereby effectively utilizing them. This paper synthesizes recent researches about deep …