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» Maximal Vector Computation in Large Data Sets
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TASLP
2010
130views more  TASLP 2010»
15 years 1 months ago
Developing Objective Measures of Foreign-Accent Conversion
Various methods have recently appeared to transform foreign-accented speech into its native-accented counterpart. Evaluation of these accent conversion methods requires extensive l...
Daniel Felps, Ricardo Gutierrez-Osuna
ICML
2007
IEEE
16 years 7 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
SC
2000
ACM
15 years 11 months ago
Parallel Phylogenetic Inference
Recent advances in DNA sequencing technology have created large data sets upon which phylogenetic inference can be performed. However, current research is limited by the prohibiti...
Quinn Snell, Michael Whiting, Mark J. Clement, Dav...
ICPR
2010
IEEE
15 years 4 months ago
Enhancing Web Page Classification via Local Co-training
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...
Youtian Du, Xiaohong Guan, Zhongmin Cai
INTERNET
2007
105views more  INTERNET 2007»
15 years 6 months ago
Workflow Planning on a Grid
evel of abstraction, we can represent a workflow as a directed graph with operators (or tasks) at the vertices (see Figure 1). Each operator takes inputs from data sources or from ...
Craig W. Thompson, Wing Ning Li, Zhichun Xiao