Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zhang, Jiandong"'
In the field of scientometrics, the subject classification system of academic journals holds great importance. Accurate identification and classification of "multidisciplinary" journals are crucial in revealing the scientific structure and evaluating
Externí odkaz:
http://arxiv.org/abs/2305.02530
Optically levitated microspheres are an excellent candidate for force and acceleration sensing. Here, we propose an acceleration sensing protocol based on an optically levitated microsphere array (MSA). The system consists of an $N$-microsphere array
Externí odkaz:
http://arxiv.org/abs/2303.06875
Autor:
He, Sifeng, He, Yue, Lu, Minlong, Jiang, Chen, Yang, Xudong, Qian, Feng, Zhang, Xiaobo, Yang, Lei, Zhang, Jiandong
Video copy localization aims to precisely localize all the copied segments within a pair of untrimmed videos in video retrieval applications. Previous methods typically start from frame-to-frame similarity matrix generated by cosine similarity betwee
Externí odkaz:
http://arxiv.org/abs/2211.13090
One of the important topics in the research field of Chinese classical poetry is to analyze the poetic style. By examining the relevant works of previous dynasties, researchers judge a poetic style mostly by their subjective feelings, and refer to th
Externí odkaz:
http://arxiv.org/abs/2211.04657
Traditional recommendation systems mainly focus on modeling user interests. However, the dynamics of recommended items caused by attribute modifications (e.g. changes in prices) are also of great importance in real systems, especially in the fast-gro
Externí odkaz:
http://arxiv.org/abs/2208.13480
Autor:
Wang, Shuai, Zhang, Jiandong
We present a new operator method in the Heisenberg representation to obtain the signal of parity measurement within a lossless SU(1,1) interferometer. Based on this method, it is convenient to derive the parity signal directly in terms of input state
Externí odkaz:
http://arxiv.org/abs/2104.09718
User behavior modeling is a key technique for recommender systems. However, most methods focus on head users with large-scale interactions and hence suffer from data sparsity issues. Several solutions integrate side information such as demographic fe
Externí odkaz:
http://arxiv.org/abs/2012.14770
Natural Language Processing (NLP) has been widely used in the semantic analysis in recent years. Our paper mainly discusses a methodology to analyze the effect that context has on human perception of similar words, which is the third task of SemEval
Externí odkaz:
http://arxiv.org/abs/2005.01006
Publikováno v:
Opt. Express 26, 16524-16534, 2018
We report on an orbital-angular-momentum-enhanced scheme for angular displacement estimation based on two-mode squeezed vacuum and parity detection. The sub-Heisenberg-limited sensitivity for angular displacement estimation is obtained in an ideal si
Externí odkaz:
http://arxiv.org/abs/1802.05790