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LETRIST: Locally Encoded Transform Feature Histogram for Rotation-Invariant Texture Classification

https://doi.org/10.1109/tcsvt.2017.2671899
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study
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inferredcites →https://doi.org/10.1016/j.patcog.2012.04.003openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.patcog.2015.03.003openalex-snapshot
Exploring space–frequency co-occurrences via local quantized patterns for texture representation
inferredcites →https://doi.org/10.1016/j.patcog.2016.08.032openalex-snapshot
Local binary features for texture classification: Taxonomy and experimental study
inferredcites →https://doi.org/10.1016/j.patrec.2008.10.012openalex-snapshot
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Shape Index Descriptors Applied to Texture-Based Galaxy Analysis
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inferredcites →https://doi.org/10.1109/tip.2013.2268976openalex-snapshot
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inferredcites →https://doi.org/10.1109/tip.2013.2295755openalex-snapshot
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inferredcites →https://doi.org/10.1109/tip.2014.2310123openalex-snapshot
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inferredcites →https://doi.org/10.1109/tip.2014.2325777openalex-snapshot
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inferredcites →https://doi.org/10.1109/tip.2015.2475625openalex-snapshot
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inferredcites →https://doi.org/10.1109/tip.2016.2549360openalex-snapshot
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inferredcites →https://doi.org/10.1109/tmi.2014.2318434openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.1986.4767811openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2002.1017623openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2004.30openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2005.151openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2006.244openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2006.68openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2008.182openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2011.145openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2012.230openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2014.2316826openalex-snapshot
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inferredcites →https://doi.org/10.1109/tsmc.1973.4309314openalex-snapshot
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inferredcites →https://doi.org/10.1109/vcip.2013.6706357openalex-snapshot
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Deep Learning: Methods and Applications
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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.3389/fnins.2023.1153356openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/ai3020016openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app13116748openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/bdcc5040053openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/electronics9010023openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/math12213432openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s20143923openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/s26185747openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/sym11091155openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2111.08531openalex-snapshot
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Automatic off-line text-independent writer identification from handwriting
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