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TASLP
2010
148views more  TASLP 2010»
14 years 11 months ago
Batch and Adaptive PARAFAC-Based Blind Separation of Convolutive Speech Mixtures
We present a frequency-domain technique based on PARAllel FACtor (PARAFAC) analysis that performs multichannel blind source separation (BSS) of convolutive speech mixtures. PARAFAC...
Dimitri Nion, Kleanthis N. Mokios, Nicholas D. Sid...
BMCBI
2007
178views more  BMCBI 2007»
15 years 5 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
149
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DMKD
2004
ACM
136views Data Mining» more  DMKD 2004»
15 years 10 months ago
Mining association rules with non-uniform privacy concerns
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
Yi Xia, Yirong Yang, Yun Chi
EMNLP
2009
15 years 2 months ago
Domain adaptive bootstrapping for named entity recognition
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
Dan Wu, Wee Sun Lee, Nan Ye, Hai Leong Chieu
WWW
2008
ACM
16 years 5 months ago
Efficient similarity joins for near duplicate detection
With the increasing amount of data and the need to integrate data from multiple data sources, a challenging issue is to find near duplicate records efficiently. In this paper, we ...
Chuan Xiao, Wei Wang 0011, Xuemin Lin, Jeffrey Xu ...