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» Process Mining by Measuring Process Block Similarity
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PAAPP
2010
131views more  PAAPP 2010»
14 years 8 months ago
Accurately measuring overhead, communication time and progression of blocking and nonblocking collective operations at massive s
Accurate, reproducible and comparable measurement of the overheads, communication times and progression behavior of blocking and nonblocking collective operations is a complicated...
Torsten Hoefler, Timo Schneider, Andrew Lumsdaine
ICIP
2002
IEEE
15 years 11 months ago
Optimal recursive similarity measure estimation for interactive content-based image retrieval
In this paper, a new recursive algorithm is proposed for optimal estimation of similarity measure used in a content-based retrieval system. This is performed through a relevance f...
Anastasios D. Doulamis, Nikolaos D. Doulamis
92
Voted
ICIP
2004
IEEE
15 years 11 months ago
A new palette histogram similarity measure for mpeg-7 dominant color descriptor
The MPEG-7 dominant color descriptor (DCD) is an effective, compact, and intuitive representation of salient colors in an image region and is very useful for contentbased image re...
Lai-Man Po, Ka-Man Wong
101
Voted
ICASSP
2011
IEEE
14 years 1 months ago
A new video similarity measure model based on video time density function and dynamic programming
In this paper, we propose a novel video similarity measure model using video time density function (VTDF) and dynamic programming. First, we employ VTDF to describe the density of...
Junfeng Jiang, Xiao-Ping Zhang, Alexander C. Loui
ICASSP
2008
IEEE
15 years 4 months ago
Using corpus and knowledge-based similarity measure in Maximum Marginal Relevance for meeting summarization
MMR (Maximum Marginal Relevance) is widely used in summarization for its simplicity and efficacy, and has been demonstrated to achieve comparable performance to other approaches ...
Shasha Xie, Yang Liu