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TASLP
2008
120views more  TASLP 2008»
15 years 5 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
ICONIP
2007
15 years 7 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
ISI
2008
Springer
15 years 4 months ago
Anomaly detection in high-dimensional network data streams: A case study
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
Ji Zhang, Qigang Gao, Hai H. Wang
VDA
2010
185views Visualization» more  VDA 2010»
15 years 8 months ago
Visualizing multidimensional data through granularity-dependent spatialization
Spatialization is a special kind of visualization that projects multidimensional data into low-dimensional representational spaces by making use of spatial metaphors. Spatializati...
Sofia Kontaxaki, Eleni Tomai, Margarita Kokla, Mar...
ACL
2006
15 years 7 months ago
Graph Transformations in Data-Driven Dependency Parsing
Transforming syntactic representations in order to improve parsing accuracy has been exploited successfully in statistical parsing systems using constituency-based representations...
Jens Nilsson, Joakim Nivre, Johan Hall