A Valid-Candidate Approach to Mining Frequent Patterns in Image Databases
碩士 === 國立中山大學 === 資訊工程學系研究所 === 102 === In recent years, the image database systems develop quickly and play a significant role in many applications. To discover the useful information from these image databases, it is crucial to develop an efficient image mining algorithm. Lee et al. propose the 9D...
Main Authors: | Ming-Hsuan Tu, 杜明軒 |
---|---|
Other Authors: | Ye-In Chang |
Format: | Others |
Language: | en_US |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/8ht6jh |
Similar Items
-
Mining Frequent Patterns in Image and Video Databases
by: Ruey-Wen Hong, et al.
Published: (2009) -
An Extension Theory Based Approach to Mine Frequent Patterns in Large Databases
by: Chang-Tse Chou, et al.
Published: (2007) -
Efficient Algorithms for Mining Frequent Patterns in Temporal Databases
by: 朱俊榮
Published: (2008) -
An Efficient Algorithm for Mining Frequent Patterns in Large Databases
by: HU CHIA JUNG, et al.
Published: (2002) -
Mining Frequent Trajectory Patterns in Spatial-temporal Databases
by: Weng Chong Ip, et al.
Published: (2007)