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Bidirectional discrete matrix factorization hashing for image search
Unsupervised image hashing has recently gained significant momentum due to the scarcity
of reliable supervision knowledge, such as class labels and pairwise relationship. Previous …
of reliable supervision knowledge, such as class labels and pairwise relationship. Previous …
Deep supervised hashing using symmetric relative entropy
By virtue of their simplicity and efficiency, hashing algorithms have achieved significant
success on large-scale approximate nearest neighbor search. Recently, many deep neural …
success on large-scale approximate nearest neighbor search. Recently, many deep neural …
Deep hashing with self-supervised asymmetric semantic excavation and margin-scalable constraint
Due to its effectivity and efficiency, deep hashing approaches are widely used for large-
scale visual search. However, it is still challenging to produce compact and discriminative …
scale visual search. However, it is still challenging to produce compact and discriminative …
Bilinear discriminant analysis hashing: A supervised hashing approach for high-dimensional data
High-dimensional descriptors have been widely used in object recognition and image
classification. How to quickly index high-dimensional data into binary codes is a challenging …
classification. How to quickly index high-dimensional data into binary codes is a challenging …
Deep supervised hashing with information loss
Recently, deep neural networks based hashing methods have greatly improved the image
retrieval performance by simultaneously learning feature representations and binary hash …
retrieval performance by simultaneously learning feature representations and binary hash …
Self-supervised asymmetric deep hashing with margin-scalable constraint
Due to its effectivity and efficiency, deep hashing approaches are widely used for large-
scale visual search. However, it is still challenging to produce compact and discriminative …
scale visual search. However, it is still challenging to produce compact and discriminative …
Check for updates Cross-Model Retrieval with Reconstruct Hashing
Hashing has been widely used in large-scale vision problems thanks to its efficiency in both
storage and speed. For fast crossmodal retrieval task, cross-modal hashing (CMH) has …
storage and speed. For fast crossmodal retrieval task, cross-modal hashing (CMH) has …
Cross-Model Retrieval with Reconstruct Hashing
Hashing has been widely used in large-scale vision problems thanks to its efficiency in both
storage and speed. For fast cross-modal retrieval task, cross-modal hashing (CMH) has …
storage and speed. For fast cross-modal retrieval task, cross-modal hashing (CMH) has …
Guest Editorial: Image Analysis and Processing Leveraging Additional Information
Many multimedia analysis and processing applications can benefit from better image
understanding. However, accurate understanding of what the underlying visual content …
understanding. However, accurate understanding of what the underlying visual content …
[ЦИТИРОВАНИЕ][C] Quranic Recitation Pronunciation Modeling and Analysis
M Maqsood - 2017 - repository.pastic.gov.pk
DSpace at My University: QURANIC RECITATION PRONUNCIATION MODELING AND
ANALYSIS Skip navigation DSpace logo Home Browse Communities & Collections Browse Items …
ANALYSIS Skip navigation DSpace logo Home Browse Communities & Collections Browse Items …