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Unsupervised cross-modal similarity via latent structure discrete hashing factorization
Y Fang, B Li, X Li, Y Ren - Knowledge-Based Systems, 2021 - Elsevier
To date, large amounts of discriminative semantics-preserving discrete hash models are
enjoying great popularity in cross-modal hashing community. Most of them, however, distill …
enjoying great popularity in cross-modal hashing community. Most of them, however, distill …
QUAD: Quadratic-bound-based kernel density visualization
Kernel density visualization, or KDV, is used to view and understand data points in various
domains, including traffic or crime hotspot detection, ecological modeling, chemical geology …
domains, including traffic or crime hotspot detection, ecological modeling, chemical geology …
Efficient algorithms for kernel aggregation queries
Kernel functions support a broad range of applications that require tasks like density
estimation, classification, regression or outlier detection. For these tasks, a common online …
estimation, classification, regression or outlier detection. For these tasks, a common online …
KARL: Fast kernel aggregation queries
Kernel functions support a broad range of applications that require tasks like density
estimation, classification, or outlier detection. In these tasks, a common online operation is to …
estimation, classification, or outlier detection. In these tasks, a common online operation is to …
Storage and recreation trade-off for multi-version data management
Y Zhang, H Liu, C **, Y Guo - Asia-Pacific Web (APWeb) and Web-Age …, 2018 - Springer
With the tremendous development of data acquisition technology, massive observation data
have been accumulated in scientific disciplines. As the difference between the successive …
have been accumulated in scientific disciplines. As the difference between the successive …
Similarity measures: Algorithms and applications
TN Chan - 2019 - theses.lib.polyu.edu.hk
Similarity measures are the basic components for various problems such as image
processing, computer vision, pattern recognition and machine learning problems. However …
processing, computer vision, pattern recognition and machine learning problems. However …
[PDF][PDF] Efficient Algorithms for Kernel Aggregation Queries
S Mittal - 2020 - academia.edu
Kernel functions support a broad range of applications that require tasks like density
estimation, classification, regression or outlier detection. For these tasks, a common online …
estimation, classification, regression or outlier detection. For these tasks, a common online …