Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Jung-Yi Jiang"'
Publikováno v:
IEEE Access, Vol 9, Pp 133650-133662 (2021)
Many object re-identification (Re-ID) methods that depend on large-scale training datasets have been proposed in recent years. However, the performance of these methods degrades dramatically when insufficient training data are available. To address t
Externí odkaz:
https://doaj.org/article/8cfd7f4a7c3642fe9cb3802618408ccd
Autor:
Shie-Jue Lee, Jung-Yi Jiang
Publikováno v:
IEEE Transactions on Fuzzy Systems. 22:1457-1471
We propose a fuzzy based method for multilabel text classification in which a document can belong to one or more than one category. In text categorization, the number of the involved features is usually huge, causing the curse of the dimensionality p
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 26:1575-1590
Measuring the similarity between documents is an important operation in the text processing field. In this paper, a new similarity measure is proposed. To compute the similarity between two documents with respect to a feature, the proposed measure ta
Publikováno v:
ICUFN
This paper present a Data Dissemination strategy based on Time Validity (DDTV) to deal with time-sensitive contents in opportunistic networks. Time sensitivity refers to the constraint that the content must be delivered to the destinations within a g
Autor:
Van-Oanh Sai, Jung-Yi Jiang, Trong-The Nguyen, Quang-Duy Le, Mong-Fong Horng, Yuh-Chung Lin, Chin-Shiuh Shieh
Publikováno v:
CMCSN
In engineering and design problems, various noisy non-linear mathematical optimization problems can't be efficaciously solved by using conventional optimization techniques. But metaheuristic algorithms seem very efficient to approach in these problem
Publikováno v:
Expert Systems with Applications. 39:2813-2821
We propose an efficient approach, FSKNN, which employs fuzzy similarity measure (FSM) and k nearest neighbors (KNN), for multi-label text classification. One of the problems associated with KNN-like approaches is its demanding computational cost in f
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 23:335-349
Feature clustering is a powerful method to reduce the dimensionality of feature vectors for text classification. In this paper, we propose a fuzzy similarity-based self-constructing algorithm for feature clustering. The words in the feature vector of
Publikováno v:
Data & Knowledge Engineering. 65:442-462
We develop techniques for discovering patterns with periodicity in this work. Patterns with periodicity are those that occur at regular time intervals, and therefore there are two aspects to the problem: finding the pattern, and determining the perio
Publikováno v:
Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC).
Cost estimation is economically critical before starting off a construction project. One of the essential assignments for materials’ prices prediction is to control the cost of inventory. Even though the prediction system based on support vector ma
Publikováno v:
ICMLC
Wireless sensor network (WSN) is one of popular research issues, and ZigBee is an important protocol for WSN. Traditionally, the device addresses in WSN are given by a Distributed Address Allocation Mechanism (DAAM). Although DAAM has better extensib