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   Articles with "product quantization" as a keyword



Embedding hierarchical clustering in product quantization for feature indexing

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recommendations! Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6626-9

Abstract: Effective indexing is a crucial need for large scale object matching and retrieval. In this work, a novel indexing scheme is presented, that exploits the advantages of hierarchical clustering and product quantization. First, the high… read more here.

Keywords: hierarchical clustering; clustering product; feature; product quantization ... See more keywords

Kernelized product quantization

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2016.12.016

Abstract: There has been increasing interest in learning compact binary codes for large-scale image data representation and retrieval. In most existing hashing-based methods, high-dimensional vectors are hashed into Hamming space, and the similarity between two vectors… read more here.

Keywords: space; binary codes; quantization; hashing based ... See more keywords

Product Quantization for Limited Feedback MISO and RIS-Aided Wireless Communication Systems

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recommendations! Published in 2024 at "IEEE Wireless Communications Letters"

DOI: 10.1109/lwc.2024.3476234

Abstract: Recently, scalar quantization (SQ) and vector quantization (VQ) have been widely adopted in wireless communication systems. VQ outperforms SQ, making it an attractive choice for low-dimensional channel vectors. Despite the dominance, VQ demands a large… read more here.

Keywords: communication systems; quantization; ris aided; product quantization ... See more keywords

Distribution Sensitive Product Quantization

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recommendations! Published in 2018 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2017.2759277

Abstract: Product quantization (PQ) seems to have become the most efficient framework of performing approximate nearest neighbor (ANN) search for high-dimensional data. However, almost all existing PQ-based ANN techniques uniformly allocate precious bit budget to each… read more here.

Keywords: distribution sensitive; sensitive product; distribution; product quantization ... See more keywords

Bilinear Optimized Product Quantization for Scalable Visual Content Analysis

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recommendations! Published in 2017 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2017.2722224

Abstract: Product quantization (PQ) has been recognized as a useful technique to encode visual feature vectors into compact codes to reduce both the storage and computation cost. Recent advances in retrieval and vision tasks indicate that… read more here.

Keywords: quantization scalable; product; bilinear optimized; optimized product ... See more keywords

Online Variable Coding Length Product Quantization for Fast Nearest Neighbor Search in Mobile Retrieval

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recommendations! Published in 2017 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2016.2617089

Abstract: Quantization methods are crucial for efficient nearest neighbor search in many applications such as image, music, or product search. As mobile devices are becoming increasingly more popular, the quantization methods on mobile devices are more… read more here.

Keywords: quantization methods; search; quantization; coding length ... See more keywords

Progressive Similarity Preservation Learning for Deep Scalable Product Quantization

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recommendations! Published in 2024 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2023.3306556

Abstract: Product quantization is an effective strategy for compact feature learning in image retrieval, which generates compact quantization codes of different lengths for varying scenarios. However, existing deep quantization methods obtain quantization codes with different lengths… read more here.

Keywords: quantization; progressive similarity; product quantization; deep scalable ... See more keywords

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval

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recommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2022.3165024

Abstract: Deep product quantization networks (DPQNs) have been successfully used in image retrieval tasks, due to their powerful feature extraction ability and high efficiency of encoding high-dimensional visual features. Recent studies show that deep neural networks… read more here.

Keywords: product quantization; mml; adversarial examples; generation ... See more keywords

A mobile edge computing-focused transferable sensitive data identification method based on product quantization

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recommendations! Published in 2024 at "Journal of Cloud Computing"

DOI: 10.1186/s13677-024-00662-4

Abstract: Sensitive data identification represents the initial and crucial step in safeguarding sensitive information. With the ongoing evolution of the industrial internet, including its interconnectivity across various sectors like the electric power industry, the potential for… read more here.

Keywords: product quantization; sensitive data; data identification; identification ... See more keywords