Principal component analysis
Principal component analysis is a versatile statistical method for reducing a cases-by-
variables data table to its essential features, called principal components. Principal …
variables data table to its essential features, called principal components. Principal …
Research review for broad learning system: Algorithms, theory, and applications
In recent years, the appearance of the broad learning system (BLS) is poised to
revolutionize conventional artificial intelligence methods. It represents a step toward building …
revolutionize conventional artificial intelligence methods. It represents a step toward building …
A genomic mutational constraint map using variation in 76,156 human genomes
The depletion of disruptive variation caused by purifying natural selection (constraint) has
been widely used to investigate protein-coding genes underlying human disorders,,–, but …
been widely used to investigate protein-coding genes underlying human disorders,,–, but …
[PDF][PDF] 智能视频监控技术综述
黄凯奇， 陈晓棠， 康运锋， 谭铁牛 - 计算机学报, 2015 - cjc.ict.ac.cn
摘要随着摄像头安装数量的日益增多, 以及智慧城市和公共安全需求的日益增长,
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …
Learning spatio-temporal transformer for visual tracking
In this paper, we present a new tracking architecture with an encoder-decoder transformer
as the key component. The encoder models the global spatio-temporal feature …
as the key component. The encoder models the global spatio-temporal feature …
A genome-wide mutational constraint map quantified from variation in 76,156 human genomes
The depletion of disruptive variation caused by purifying natural selection (constraint) has
been widely used to investigate protein-coding genes underlying human disorders, but …
been widely used to investigate protein-coding genes underlying human disorders, but …
Ganspace: Discovering interpretable gan controls
E Härkönen, A Hertzmann… - Advances in neural …, 2020 - proceedings.neurips.cc
This paper describes a simple technique to analyze Generative Adversarial Networks
(GANs) and create interpretable controls for image synthesis, such as change of viewpoint …
(GANs) and create interpretable controls for image synthesis, such as change of viewpoint …
The eighth visual object tracking VOT2020 challenge results
Abstract The Visual Object Tracking challenge VOT2020 is the eighth annual tracker
benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; …
benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; …
Human memory update strategy: a multi-layer template update mechanism for remote visual monitoring
In the era of rapid development of artificial intelligence, the integration of multimedia and
human-artificial intelligence has become an important research hotspot. Especially in the …
human-artificial intelligence has become an important research hotspot. Especially in the …
The seventh visual object tracking VOT2019 challenge results
Abstract The Visual Object Tracking challenge VOT2019 is the seventh annual tracker
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …