WebAug 1, 2024 · Existing data-dependent hashing methods usually learn hash functions from pairwise or triplet data relationships, which only capture the data similarity locally, and often suffer from low learning efficiency and low collision rate. In this work, we propose a new \\emph{global} similarity metric, termed as \\emph{central similarity}, with which the … WebIn existing hashing methods, a linear model is commonly utilized owing to its efficiency. To obtain better accuracy, linear-based hashing methods focus on designing a generalized linear objective function with different constraints or penalty terms that consider the inherent characteristics and neighborhood information of samples.
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WebAug 16, 2024 · Hashing technology has been widely used in image retrieval due to its computational and storage efficiency. Recently, deep unsupervised hashing methods have attracted increasing attention due to the high cost of human annotations in the real world and the superiority of deep learning technology. WebNov 1, 2024 · A joint and individual matrix factorization hashing method is proposed to simultaneously learn unified and individual hash codes for multimodal data. Hence, the shared and specific properties of multimodal data are both preserved for the learned hash codes and the cross-modal retrieval performance is improved. • how to add a sprinkler head to a zone
[1908.00347] Central Similarity Quantization for Efficient Image …
WebJan 6, 2024 · 2.2 Hash learning. According to whether training data are used in the hash learning process, existing hashing methods can be divided into data-independent and data-dependent methods. In data-independent hashing methods, the hash function is usually randomly generated and independent of training data. WebJan 13, 2024 · Approximate Nearest Neighbor(ANN) search is the core problem in many large-scale machine learning and computer vision applications such as multimodal … WebDec 10, 2024 · Towards privacy palmprint recognition via federated hash learning. December 2024. 10.1049/el.2024.2076. meth addicted babies facts