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» A Heuristic Method for Business Process Model Evaluation
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189
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IDA
2002
Springer
15 years 6 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
200
Voted
TASE
2010
IEEE
15 years 1 months ago
Optimization of Group Elevator Scheduling With Advance Information
Group elevator scheduling has received considerable attention due to its importance to transportation efficiency for mid-rise and high-rise buildings. One important trend to improv...
Jin Sun, Qianchuan Zhao, Peter B. Luh
166
Voted
ICASSP
2011
IEEE
14 years 10 months ago
An approach to sequential grouping in cochannel speech
Model-based methods for sequential organization in cochannel speech require pretrained speaker models and often prior knowledge of participating speakers. We propose an unsupervis...
Ke Hu, DeLiang Wang
190
Voted
ICIP
2000
IEEE
15 years 11 months ago
Texture Similarity Measurement Using Kullback-Leibler Distance on Wavelet Subbands
The focus of this work is on using texture information for searching, browsing and retrieving images from a large database. In the wavelet approaches, texture is characterized by ...
Minh N. Do, Martin Vetterli
ICASSP
2009
IEEE
16 years 1 months ago
Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion m
This paper considers a method for speech emotion recognition by a max-margin framework incorporating a loss function based on a well-known model called the Watson and Tellegen’s...
Sungrack Yun, Chang D. Yoo