Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zhiyang Li"'
Autor:
Zhiyang Li
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-10
Volatility is an inherent attribute of the financial market, which is usually expressed as the degree of volatility of financial asset prices. The volatility of the financial market means that there is uncertainty or risk in the market. This paper ma
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 2, Iss 34, Pp 630-646 (2020)
Machine Learning and Knowledge Extraction
Volume 2
Issue 4
Pages 34-646
Machine Learning and Knowledge Extraction
Volume 2
Issue 4
Pages 34-646
Feature analysis is a fundamental research area in computer graphics
meanwhile, meaningful and part-aware feature bases are always demanding. This paper proposes a framework for conducting feature analysis on a three-dimensional (3D) model by in
meanwhile, meaningful and part-aware feature bases are always demanding. This paper proposes a framework for conducting feature analysis on a three-dimensional (3D) model by in
Publikováno v:
Journal of Network and Computer Applications. 132:40-48
Radio Frequency IDentification (RFID) technology is widely used in the inventory management of goods. Fast searching a subset consisting of some particular target tags is of practical importance for a variety of applications. Existing protocols are i
Publikováno v:
SmartIoT
Discovering Frequent itemsets over uncertain databases has become a hot topic in data mining community due to the wide application of uncertain data. Several algorithms are proposed to mine frequent itemsets over uncertain data. However, the existing
Publikováno v:
SmartIoT
With the development of Internet of things, more and more personal information needs to be collected in the process of applying Internet of things technology, which brings about the problem of data privacy protection. The algorithm proposed in this p
Publikováno v:
Computer Vision and Image Understanding. 210:103243
Part-based representation plays an important role in many shape related applications, including segmentation, recognition, editing and animation. An issue of particular interest in recent research is decomposing shapes into near-convex parts. However
Publikováno v:
Electronics
Volume 8
Issue 6
Electronics, Vol 8, Iss 6, p 701 (2019)
Volume 8
Issue 6
Electronics, Vol 8, Iss 6, p 701 (2019)
This paper aims to utilize the deep learning architecture to break through the limitations of camera perspective, image background, uneven crowd density distribution and pedestrian occlusion to estimate crowd density accurately. In this paper, we pro
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Nowadays, hashing methods are widely used in large-scale approximate nearest neighbor search due to its efficient storage and fast retrieval speed. By these methods, the original data is usually hashed into binary codes which enables to measure the s
Publikováno v:
Pattern Recognition. 106:107409
Nowadays, prototype-based binary quantization (PBQ) is a promising solution for the approximate nearest neighbor search problem, which simultaneously preserves the affinity structures of prototypes in both Euclidean space as well as those of their co
Publikováno v:
Pattern Recognition. 105:107371
We present a novel 2D shape decomposition algorithm via a recursive partitioning process. Starting with the contour points of a shape, we repeatedly separate the points into two parts by spectral clustering, until the stopping condition is met. Motiv