NSTL国家科技图书文献中心

1. Fusion of data dimensionality reduction algorithms baced on category representation theory NSTL国家科技图书文献中心

Xiaoxiang Xu | Fanzhang Li ... - 《Fourth International Conference on Computer Vision,Application,and Algorithm (CVAA 2024)》 - International Conference on Computer Vision,Application,and Algorithm - 2025, - 1348633.1～1348633.10 - 共10页

摘要： study the fusion representation* of data dimensionality* | representation problems are one of the bottlenecks in the field | representation for data dimensionality reduction and provide a | data dimensionality reduction fusion representation | representation algorithm based on a data dimensionality

关键词： Category representation | Data dimensionality reduction | Data dimensionality reduction fusion representation

2. Strategies to overcome barriers to the statistical representation of femicide data-a technical note NSTL国家科技图书文献中心

Sarkar, Reena | Bassed, Richard ... - 《International journal of legal medicine》 - 2025,139(3) - 1343～1352 - 共10页

摘要： representation of femicide are related to definitions, data | and facilitators to improving the representation* of* | Mortality data* systems are upstream* | determinants of health, providing critical information on | causes of death and population health trends and

关键词： Femicide | Data system | Statistical representation | Gender motive

3. Manipulable Semantic Components: A Computational Representation of Data Visualization Scenes NSTL国家科技图书文献中心

Zhicheng Liu | Chen Chen ... - 《IEEE transactions on visualization and computer graphics》 - 2025,31(1) - 732～742 - 共11页

摘要： representation of data visualization scenes, to support | expressive model of data* visualization scenes for different* | Various data* visualization applications* | require a vocabulary that describes the structure of | limited set of visualization types. A unified and

关键词： Data visualization | Visualization | Semantics | Bars | Layout | Encoding | Data models

4. Representation with Minimized Max-Error in Optimal Piecewise Linear Approximation of Time Series Data NSTL国家科技图书文献中心

Huanyu Zhao | Tongliang Li ... - 《Web Information Systems Engineering - WISE 2024,Part I》 - International Conference on Web Information Systems Engineering - 2025, - 133～147 - 共15页

摘要： representation and analysis of time series data. It divides a | fragment with a straight line to approximate the data | points of that time slot. In this paper, to elevate the | representation quality in the optimal PLA_∞ results, we present | unique line representative of minimized maximum error

关键词： Piecewise linear approximation (PLA) | Maximum error (max-error) | Minimized maximum error (min-max error)

5. Creating informative experiences through a visual and interactive representation of health and social care data NSTL国家科技图书文献中心

Kean Lee Kang | Adam Hastings ... - 《Information visualization》 - 2025,24(2) - 150～164 - 共15页

摘要： visual and interactive representation* of a problem* | large number of rules of how items in a dataset are | challenge to the interpretability and usefulness of the | be explored and pruned to the data* points specified* | an overview of the large-scale structure of the

关键词： Data exploration | dynamic visualization | exploratory visualization | force-directed layout | graph visualization | interactive visualization | usability | web visualization

6. Study on the influence of airborne LiDAR measurement data representation method on DRL-based UAV navigation performance NSTL国家科技图书文献中心

Sheng, Yuanyuan | Liu, Huanyu ... - 《Measurement Science & Technology》 - 2025,36(3) - 1～14 - 共14页

摘要： different representation methods of LiDAR measurement data | of DRL using the direct measurement data* of LiDAR* | , ignoring the impact of the representation* method of LiDAR* | With the development of unmanned aerial | based on LiDAR, most of them construct the state space

关键词： UAV navigation | deep reinforcement learning | LiDAR measurement | obstacle avoidance

7. Deep data density estimation through Donsker-Varadhan representation NSTL国家科技图书文献中心

Seonho Park | Panos M. Pardalos - 《Annals of mathematics and artificial intelligence》 - 2025,93(1) - 7～17 - 共11页

摘要：Estimating the data* density is one of the* | data density estimation and has a lot of | methodology for estimating the data* density using the* | associated with the Donsker-Varadhan representation* on the* | KL divergence between the data* and the uniform*

关键词： Donsker-Varadhan representation | Data density estimation | KL-divergence | Probabilistic modeling

8. Self-Supervised Representation Distribution Learning for Reliable Data Augmentation in Histopathology WSI Classification NSTL国家科技图书文献中心

Kunming Tang | Zhiguo Jiang ... - 《IEEE Transactions on Medical Imaging》 - 2025,44(1) - 462～474 - 共13页

摘要： histopathology image representation learning and data | on the representations of patches extracted from | performance of classification relies on both patch-level | representation learning and MIL classifier training. Most MIL | training of the MIL classifiers for efficiency

关键词： Data augmentation | Training | Representation learning | Data models | Histopathology | Feature extraction | Supervised learning

9. Seismic Data Sparse Representation Using Swin Transformers NSTL国家科技图书文献中心

Qiao Cheng | Xiangbo Gong ... - 《IEEE geoscience and remote sensing letters》 - 2025,22 - 1～5 - 共5页

摘要： framework for discrete sparse representation* of seismic* | provides superior decomposition of seismic data. | Seismic data* preprocessing significantly* | benefits from advanced sparse representation* and domain* | separation, and data* reconstruction. This study introduces*

关键词： Transformers | Sparse approximation | Feature extraction | Space exploration | Reflection | Decoding | Data models | Synthetic data | Noise reduction | Merging

10. Online Sparse Representation Clustering for Evolving Data Streams NSTL国家科技图书文献中心

Jie Chen | Shengxiang Yang ... - 《IEEE transactions on neural networks and learning systems》 - 2025,36(1) - 525～539 - 共15页

摘要： sequences of data. A number of data* stream clustering* | -dimensional data. Then, we take advantage of the $l_{2,1 | number of representative data* objects and form a* | structures of the high-dimensional data* objects. Moreover* | compared to that of state-of-the-art methods for data

关键词： Category representation | Data dimensionality reduction | Data dimensionality reduction fusion representation

摘要： representation of femicide are related to definitions, data | and facilitators to improving the representation* of* | Mortality data* systems are upstream* | determinants of health, providing critical information on | causes of death and population health trends and

关键词： Femicide | Data system | Statistical representation | Gender motive

摘要： representation of data visualization scenes, to support | expressive model of data* visualization scenes for different* | Various data* visualization applications* | require a vocabulary that describes the structure of | limited set of visualization types. A unified and

关键词： Data visualization | Visualization | Semantics | Bars | Layout | Encoding | Data models

关键词： Piecewise linear approximation (PLA) | Maximum error (max-error) | Minimized maximum error (min-max error)

摘要： visual and interactive representation* of a problem* | large number of rules of how items in a dataset are | challenge to the interpretability and usefulness of the | be explored and pruned to the data* points specified* | an overview of the large-scale structure of the

关键词： Data exploration | dynamic visualization | exploratory visualization | force-directed layout | graph visualization | interactive visualization | usability | web visualization

摘要： different representation methods of LiDAR measurement data | of DRL using the direct measurement data* of LiDAR* | , ignoring the impact of the representation* method of LiDAR* | With the development of unmanned aerial | based on LiDAR, most of them construct the state space

关键词： UAV navigation | deep reinforcement learning | LiDAR measurement | obstacle avoidance

摘要：Estimating the data* density is one of the* | data density estimation and has a lot of | methodology for estimating the data* density using the* | associated with the Donsker-Varadhan representation* on the* | KL divergence between the data* and the uniform*

关键词： Donsker-Varadhan representation | Data density estimation | KL-divergence | Probabilistic modeling

摘要： histopathology image representation learning and data | on the representations of patches extracted from | performance of classification relies on both patch-level | representation learning and MIL classifier training. Most MIL | training of the MIL classifiers for efficiency

关键词： Data augmentation | Training | Representation learning | Data models | Histopathology | Feature extraction | Supervised learning

摘要： framework for discrete sparse representation* of seismic* | provides superior decomposition of seismic data. | Seismic data* preprocessing significantly* | benefits from advanced sparse representation* and domain* | separation, and data* reconstruction. This study introduces*

关键词： Transformers | Sparse approximation | Feature extraction | Space exploration | Reflection | Decoding | Data models | Synthetic data | Noise reduction | Merging

摘要： sequences of data. A number of data* stream clustering* | -dimensional data. Then, we take advantage of the $l_{2,1 | number of representative data* objects and form a* | structures of the high-dimensional data* objects. Moreover* | compared to that of state-of-the-art methods for data

关键词： Streams | Clustering algorithms | Dictionaries | Sparse matrices | Heuristic algorithms | Optimization | Data models

4008-161-200 800-990-8900

国家科技图书文献中心

关键词： Category representation | Data dimensionality reduction | Data dimensionality reduction fusion representation

摘要： representation of femicide are related to definitions, data | and facilitators to improving the representation of | Mortality data systems are upstream | determinants of health, providing critical information on | causes of death and population health trends and

关键词： Femicide | Data system | Statistical representation | Gender motive

摘要： representation of data visualization scenes, to support | expressive model of data visualization scenes for different | Various data visualization applications | require a vocabulary that describes the structure of | limited set of visualization types. A unified and

关键词： Data visualization | Visualization | Semantics | Bars | Layout | Encoding | Data models

关键词： Piecewise linear approximation (PLA) | Maximum error (max-error) | Minimized maximum error (min-max error)

摘要： visual and interactive representation of a problem | large number of rules of how items in a dataset are | challenge to the interpretability and usefulness of the | be explored and pruned to the data points specified | an overview of the large-scale structure of the

关键词： Data exploration | dynamic visualization | exploratory visualization | force-directed layout | graph visualization | interactive visualization | usability | web visualization

摘要： different representation methods of LiDAR measurement data | of DRL using the direct measurement data of LiDAR | , ignoring the impact of the representation method of LiDAR | With the development of unmanned aerial | based on LiDAR, most of them construct the state space

关键词： UAV navigation | deep reinforcement learning | LiDAR measurement | obstacle avoidance

摘要：Estimating the data density is one of the | data density estimation and has a lot of | methodology for estimating the data density using the | associated with the Donsker-Varadhan representation on the | KL divergence between the data and the uniform

关键词： Donsker-Varadhan representation | Data density estimation | KL-divergence | Probabilistic modeling

摘要： histopathology image representation learning and data | on the representations of patches extracted from | performance of classification relies on both patch-level | representation learning and MIL classifier training. Most MIL | training of the MIL classifiers for efficiency

关键词： Data augmentation | Training | Representation learning | Data models | Histopathology | Feature extraction | Supervised learning

摘要： framework for discrete sparse representation of seismic | provides superior decomposition of seismic data. | Seismic data preprocessing significantly | benefits from advanced sparse representation and domain | separation, and data reconstruction. This study introduces

关键词： Transformers | Sparse approximation | Feature extraction | Space exploration | Reflection | Decoding | Data models | Synthetic data | Noise reduction | Merging

摘要： sequences of data. A number of data stream clustering | -dimensional data. Then, we take advantage of the $l_{2,1 | number of representative data objects and form a | structures of the high-dimensional data objects. Moreover | compared to that of state-of-the-art methods for data

关键词： Streams | Clustering algorithms | Dictionaries | Sparse matrices | Heuristic algorithms | Optimization | Data models

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： representation of femicide are related to definitions, data | and facilitators to improving the representation* of* | Mortality data* systems are upstream* | determinants of health, providing critical information on | causes of death and population health trends and

摘要： representation of data visualization scenes, to support | expressive model of data* visualization scenes for different* | Various data* visualization applications* | require a vocabulary that describes the structure of | limited set of visualization types. A unified and

摘要： visual and interactive representation* of a problem* | large number of rules of how items in a dataset are | challenge to the interpretability and usefulness of the | be explored and pruned to the data* points specified* | an overview of the large-scale structure of the

摘要： different representation methods of LiDAR measurement data | of DRL using the direct measurement data* of LiDAR* | , ignoring the impact of the representation* method of LiDAR* | With the development of unmanned aerial | based on LiDAR, most of them construct the state space

摘要：Estimating the data* density is one of the* | data density estimation and has a lot of | methodology for estimating the data* density using the* | associated with the Donsker-Varadhan representation* on the* | KL divergence between the data* and the uniform*

摘要： framework for discrete sparse representation* of seismic* | provides superior decomposition of seismic data. | Seismic data* preprocessing significantly* | benefits from advanced sparse representation* and domain* | separation, and data* reconstruction. This study introduces*

摘要： sequences of data. A number of data* stream clustering* | -dimensional data. Then, we take advantage of the $l_{2,1 | number of representative data* objects and form a* | structures of the high-dimensional data* objects. Moreover* | compared to that of state-of-the-art methods for data