中国科学院机构知识库网格系统: 检索

Making Information Hiding Effective Again 期刊论文 OAI收割
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2022, 卷号: 19, 期号: 4, 页码: 2576-2594
作者: Wang, Zhe; Wu, Chenggang; Zhang, Yinqian; Tang, Bowen; Yew, Pen-Chung

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收藏 | 浏览/下载：33/0 | 提交时间：2022/12/07

Instruction sets Registers Computer crashes Entropy Kernel Security Probes Side channel attacks information hiding intra-process memory isolation TLB misses

Explanation guided cross-modal social image clustering 期刊论文 OAI收割
INFORMATION SCIENCES, 2022, 卷号: 593, 页码: 1-16
作者: Yan, Xiaoqiang; Mao, Yiqiao; Ye, Yangdong; Yu, Hui; Wang, Fei-Yue

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收藏 | 浏览/下载：32/0 | 提交时间：2022/06/10

Social image clustering Human explanation Side information Information maximization Interactive optimization

Neural variational collaborative filtering with side information for top-K recommendation 期刊论文 OAI收割
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3273-3284
作者: Deng, Xiaoyi; Zhuang, Fuzhen; Zhu, Zhiguo

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收藏 | 浏览/下载：23/0 | 提交时间：2020/12/10

Neural collaborative filtering Variational autoencoder Top-K recommendation Side information Implicit feedback

Semisupervised Learning With Parameter-Free Similarity of Label and Side Information 期刊论文 OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 405–414
作者: Zhang, Rui; Nie, Feiping; Li, Xuelong

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收藏 | 浏览/下载：32/0 | 提交时间：2019/03/20

Graph-based semisupervised learning (GSL) quadratic trace ratio (QTR) problem side information soft label

Listwise Learning to Rank from Crowds 期刊论文 OAI收割
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2016, 卷号: 11, 期号: 1, 页码: 1-39
作者: Wu, Ou; You, Qiang; Xia, Fen; Ma, Lei; Hu, Weiming

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收藏 | 浏览/下载：25/0 | 提交时间：2016/09/18

Listwise Learning To Rank Crowdsourcing Multiple Annotators Probabilistic Ranking Model Side Information

The Temporal Responses of Neurons in The Primary Visual Cortex to Transient Stimuli 期刊论文 OAI收割
PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2012, 卷号: 39, 期号: 12, 页码: 1190-1196
Li XiaoJian; Jiang Zhen; Wang Yi; 王毅

收藏 | 浏览/下载：23/0 | 提交时间：2013/12/24

primary visual cortex neuron response time course main peak side peak offset peak minimal time for information processing

MTF-based research on the minimum fill factor in optical sparse aperture system (EI CONFERENCE) 会议论文 OAI收割
2011 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011, March 28, 2011 - March 29, 2011, Shenzhen, Guangdong, China
作者: Liu Z.

收藏 | 浏览/下载：27/0 | 提交时间：2013/03/25

To avoid the loss of image information when it is transferred through optical sparse aperture system with excessively diluted apertures arrangement we propose a method in the frequency domain termed characteristic triangle to calculate the minimum fill factor. This method is based on the characteristics of MTF and demonstrates that when the characteristic triangle is equilateral with each side 3th power of sub-MTF cutoff frequency MTF has no zero value below cutoff frequency thus we can obtain the minimum fill factor. Furthermore we apply it to some typical sparse arrays such as Golay3 Golay6 Ring6 and Tri-arm7 and get their fill factors of 33.33% 15.16% 30.11% and 11.14% correspondingly which are consistent with numerical results. 2011 IEEE.

Computer simulation research on cognitive mechanism of human vision (EI CONFERENCE) 会议论文 OAI收割
International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010, March 13, 2010 - March 14, 2010, Changsha, China
Ke H.; You W.

收藏 | 浏览/下载：38/0 | 提交时间：2013/03/25

The development of intelligent system which accorded with human cognitive mechanism will exert a profound influence on national defense economy education culture and etc. A computer simulation method according with cognitive mechanism of human vision was proposed on the basis of Structural Decomposition Theory. Many basic shape feature information tables of similar object from different side can determine a kind of object uniquely. System weighted basic shape features in two different information tables by membership degree and then calculated similarity. The identifying object which had the maximum similarity with it in system was what we needed. The system used 83 pictures of 6 kinds of objects with different side for training and testing. The experiment results demonstrated task of basic shape extraction object recognition and others can be completed effectively with the method in paper. The method in paper can be a new attempt on computer simulation method according with cognitive mechanism of human vision from cognitive field. 2010 Crown Copyright.

Correction method for detection of the frequencies of railway fsk signals (EI CONFERENCE) 会议论文 OAI收割
2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008, Beijing, China
作者: Yu J.

收藏 | 浏览/下载：63/0 | 提交时间：2013/03/25

In order to acquire the information of railway binary frequency-shift keying signals which include upper/down side frequencies and base low-frequency with high-accuracy a novel frequency detection algorithm for France UM-71 system is proposed. Combining fast Fourier transform with the ratio correction method the carrier frequency and the base frequency are obtained. Furthermore the hardware consumption has been decreased. And it possesses the advantage of simple algorithm and fast operation speed. Comparing with the detection of the base frequency the upper/down side frequency of railway signal is more difficult. Based on spectrum analysis and the spectrum correction a new method which adopts the sliding window is put forward in this paper. The absolute differences between the upper side frequencies and the down side frequencies obtained are regarded as the criterion for judgment. Then the set of data in which the maximum absolute value is is to be the result of the upper/down side frequency. Because the sliding window will go through every stage when the upper/down side frequency changes therefore it is not sensitive enough to the position of data which need to be transformed. Using the method mentioned above the experiment results show that the accuracy requirement of the side frequency is satisfied well. 2008 IEEE.

Data preprocessing of the exterior field of vision assembling photogrammetric camera (EI CONFERENCE) 会议论文 OAI收割
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, July 8, 2007 - July 12, 2007, Chengdu, China
作者: Li J.; Li J.; Li J.; Liu J.; Liu J.

收藏 | 浏览/下载：77/0 | 提交时间：2013/03/25

Transmit array photogrammetric camera can obtain image which is high geometric fidelity and high photogrammetric quality. However the single chip array CCD image sensor camera can't meet the need of measuring precision and photogrammetric covering area. In order to obtain large numbers of information and extensive photogrammetric covering area we must increase field of vision angle and improve photogrammetric covering area. And all these objects can be realized by exterior field of vision assembling photogrammetric camera. Two side work must be done before images which obtained by exterior field of vision assembling photogrammetric camera be used in photogrammetry. First all assembling camera focal plane need be converted to a benchmark coordinate focal plane to realize camera digital assembling. Second images must be re-sampled and processing. Because of coordinate conversion two images from different assembling cameras can be established function relation which a pixel of image from a camera is corresponding to a pixel of another image from different camera. But through this conversion some pixels maybe extrusion together and other pixels separate on an image area. So interpolation direction finding(IDF) is used to obtain these pixels and realize image re-sampling. In this paper the structure of exterior field of vision assembling photogrammetric camera is analyzed and the coordinate conversion method of exterior field of vision assembling photogrammetric camera and image gray re-sampling method also can be discussed. All the works are based to data pretreatment of exterior vision assembling photogrammetric camera.