On the public citation graph
Multimedia Retrieval Using Time Series Representation and Relevance Feedback
0 signed · 28 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/10.486255openalex-snapshot
Nonlinear alignment and averaging for estimating the evoked potential
inferredcites →https://doi.org/10.1109/cvpr.2003.1211511openalex-snapshot
Word image matching using dynamic time warping
inferredcites →https://doi.org/10.1109/icdar.2003.1227743openalex-snapshot
Indexing and retrieval of on-line handwritten documents
inferredcites →https://doi.org/10.1109/tassp.1978.1163055openalex-snapshot
Dynamic programming algorithm optimization for spoken word recognition
inferredcites →https://doi.org/10.1137/1.9781611972740.2openalex-snapshot
Making Time-series Classification More Accurate Using Learned Constraints
inferredcites →https://doi.org/10.1142/s0218001403002538openalex-snapshot
AN INTEGRATED SYSTEM FOR HANDWRITTEN DOCUMENT IMAGE PROCESSING
inferredcites →https://doi.org/10.1145/191839.191925openalex-snapshot
Fast subsequence matching in time-series databases
inferredcites →https://doi.org/10.1145/775047.775062openalex-snapshot
On the need for time series data mining benchmarks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-33495-6_24openalex-snapshot
Representing Unequal Data Series in Vector Space with Its Application in Bank Customer Clustering
inferred← citeshttps://doi.org/10.1007/978-3-540-68125-0_11openalex-snapshot
Accurate and Efficient Retrieval of Multimedia Time Series Data Under Uniform Scaling and Time Warping
inferred← citeshttps://doi.org/10.1007/978-3-540-72584-8_68openalex-snapshot
Inaccuracies of Shape Averaging Method Using Dynamic Time Warping for Time Series Data
inferred← citeshttps://doi.org/10.1016/j.eswa.2013.08.028openalex-snapshot
Stock market co-movement assessment using a three-phase clustering method
inferred← citeshttps://doi.org/10.1016/j.is.2015.04.007openalex-snapshot
Time-series clustering – A decade review
inferred← citeshttps://doi.org/10.1016/j.knosys.2011.04.015openalex-snapshot
Shape-based template matching for time series data
inferred← citeshttps://doi.org/10.1016/j.watres.2019.03.051openalex-snapshot
Unsteady pressure patterns discovery from high-frequency sensing in water distribution systems
inferred← citeshttps://doi.org/10.1109/bigdata52589.2021.9671398openalex-snapshot
Graph-based Clustering for Time Series Data
inferred← citeshttps://doi.org/10.1109/ecticon.2009.5137128openalex-snapshot
Shape averaging under Time Warping
inferred← citeshttps://doi.org/10.1109/ecticon.2011.5947875openalex-snapshot
Multiple Shape-based Template Matching for time series data
inferred← citeshttps://doi.org/10.1109/ispacs62486.2024.10869272openalex-snapshot
A Minimum Value Determination Circuit Using a Neuron CMOS WTA with FGC Circuit
inferred← citeshttps://doi.org/10.1109/mue.2007.165openalex-snapshot
On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping
inferred← citeshttps://doi.org/10.1155/2014/562194openalex-snapshot
A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique
inferred← citeshttps://doi.org/10.31274/td-20240329-429openalex-snapshot
Information fusion for decision making
inferred← citeshttps://doi.org/10.3233/ida-140669openalex-snapshot
Clustering of large time series datasets
inferred← citeshttps://doi.org/10.3390/rs11111358openalex-snapshot
A Novel Relational-Based Transductive Transfer Learning Method for PolSAR Images via Time-Series Clustering
inferred← citeshttps://doi.org/10.52547/jsdp.19.2.39openalex-snapshot
Missing Data Imputation in Multivariate Time Series Data
inferred← citeshttps://doi.org/10.5772/intechopen.84490openalex-snapshot
Clustering of Time-Series Data
inferred← citeshttps://doi.org/10.5772/intechopen.87784openalex-snapshot
Data Mining - Methods, Applications and Systems
inferred← citeshttps://doi.org/10.6688/jise.2015.31.1.11openalex-snapshot
Approximate Clustering of Time-Series Datasets using k-Modes Partitioning
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.