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Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors
Research article (IEEE Transactions on Information Forensics and Security, 2018) · cited 64× · AI/ML
Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors
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Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors is a scholarly article[1].
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Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors. Retrieved May 24, 2026, from https://4ort.xyz/entity/dissimilarity-gaussian-mixture-models-for-efficient-offline-handwritten-text-independent-identification-using-sift-and-r
MLA“Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dissimilarity-gaussian-mixture-models-for-efficient-offline-handwritten-text-independent-identification-using-sift-and-r.
BibTeX@misc{4ortxyz_dissimilarity-gaussian-mixture-models-for-efficient-offline-handwritten-text-independent-identification-using-sift-and-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors}}, year = {2026}, url = {https://4ort.xyz/entity/dissimilarity-gaussian-mixture-models-for-efficient-offline-handwritten-text-independent-identification-using-sift-and-r}, note = {Accessed: 2026-05-24}}
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