Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jeng-Horng Chang"'
Autor:
陳良駒、張正宏
Publikováno v:
Tushuguanxue yu Zixun Kexue, Vol 33, Iss 2 (2007)
知識管理是企業邁向知識經濟時代的實務顯學,也是學術界近年來持續探討的重要研究議題。然而知識管理的面向是一種多維度的呈現,如何快速而正確的瞭 解知識管理議題的發展,是許多
Externí odkaz:
https://doaj.org/article/1796152cb2184e98b23774ccaf709f1c
Publikováno v:
Tushuguanxue yu Zixun Kexue, Vol 33, Iss 2 (2007)
知識管理是企業邁向知識經濟時代的實務顯學,也是學術界近年來持續探討的重要研究議題。然而知識管理的面向是一種多維度的呈現,如何快速而正確的瞭 解知識管理議題的發展,是許多
Publikováno v:
Future Generation Computer Systems. 20:1131-1143
In this paper, a novel filter-based greedy modular subspace (GMS) technique is proposed to improve the accuracy of high-dimensional data classification. The proposed approach initially divides the whole set of high-dimensional features into several a
Autor:
Jeng Horng Chang, Kuo Chin Fan
Publikováno v:
Pattern Recognition. 35:1209-1223
In this paper, a new method is introduced which is a combination of structural and syntactic approaches for fingerprint classification. The goal of the proposed ridge distribution (R-D) model is to present the idea of the possibility for classifying
Publikováno v:
Image and Vision Computing. 20:203-216
In this paper, we present a novel multi-modal histogram thresholding method in which no a priori knowledge about the number of clusters to be extracted is needed. The proposed method combines regularization and statistical approaches. By converting t
Autor:
Kuo Chin Fan, Jeng Horng Chang
Publikováno v:
Pattern Recognition. 34:1907-1925
Ridges and ravines are the main components constituting a fingerprint. Traditional automatic fingerprint identification systems (AFIS) are based on minutiae matching techniques. The minutiae for fingerprint identification are defined by ridge termina
Autor:
Kun-Shan Chen, Chia Tang Chen, Kuo Chin Fan, Chin-Chuan Han, Yang-Lang Chang, Jeng Horng Chang
Publikováno v:
SPIE Proceedings.
High-dimensional spectral imageries obtained from multispectral, hyperspectral or even ultraspectral bands generally provide complementary characteristics and analyzable information. Synthesis of these data sets into a composite image containing such
Publikováno v:
SPIE Proceedings.
In this paper, a novel filter-based greedy modular subspace (GMS)technique is proposed to improve the accuracy of high-dimensional remote sensing image supervisor classification. The approach initially divides the whole set of high-dimensional featur
Autor:
Jeng-Horng Chang, 張正弘
89
Ridges and ravines are the main components constituting a fingerprint. Traditional Automatic Fingerprint Identification Systems (AFIS) are mainly based on minutiae matching techniques. The minutiae for fingerprint identification are defined b
Ridges and ravines are the main components constituting a fingerprint. Traditional Automatic Fingerprint Identification Systems (AFIS) are mainly based on minutiae matching techniques. The minutiae for fingerprint identification are defined b
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/78873947177873333329
Autor:
Kun-Shan Chen, Jeng-Horng Chang, Kuo-Chin Fan, Chin-Chuan Han, Chia-Tang Chen, Yang-Lang Chang
Publikováno v:
Optical Engineering. 42:2576
This paper presents a new supervised classification tech- nique for hyperspectral imagery, which consists of two algorithms, re- ferred to as the greedy modular eigenspace (GME) and the positive Boolean function (PBF). The GME makes use of the data c