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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 4 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
15 years 4 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
ICMCS
2007
IEEE
177views Multimedia» more  ICMCS 2007»
15 years 3 months ago
Robust Analysis and Weighting on MFCC Components for Speech Recognition and Speaker Identification
Mismatch between training and testing data is a major error source for both Automatic Speech Recognition (ASR) and Automatic Speaker Identification (ASI). In this paper, we first ...
Xi Zhou, Yun Fu, Ming Liu, Mark Hasegawa-Johnson, ...
ASWC
2006
Springer
15 years 3 months ago
Partition-Based Block Matching of Large Class Hierarchies
Abstract. Ontology matching is a crucial task of enabling interoperation between Web applications using different but related ontologies. Due to the size and the monolithic nature,...
Wei Hu, Yuanyuan Zhao, Yuzhong Qu
ATAL
2006
Springer
15 years 3 months ago
Behaviosites: a novel paradigm for affecting distributed behavior
In this paper we present the Behaviosite paradigm, a new approach to affecting the behavior of distributed agents in a multiagent system, which is inspired by biological parasites ...
Amit Shabtay, Zinovi Rabinovich, Jeffrey S. Rosens...