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CVPR
2009
IEEE
16 years 5 months ago
Constrained Clustering via Spectral Regularization
We propose a novel framework for constrained spectral clustering with pairwise constraints which specify whether two objects belong to the same cluster or not. Unlike previous m...
Zhenguo Li (The Chinese University of Hong Kong), ...
LREC
2010
134views Education» more  LREC 2010»
14 years 11 months ago
Comparison of Spectral Properties of Read, Prepared and Casual Speech in French
In this paper, we investigate the acoustic properties of phonemes in three speaking styles: read speech, prepared speech and spontaneous speech. Our aim is to better understand wh...
Jean-Luc Rouas, Mayumi Beppu, Martine Adda-Decker
APPT
2009
Springer
15 years 4 months ago
Computational Performance of a Parallelized Three-Dimensional High-Order Spectral Element Toolbox
In this paper, a comprehensive performance review of an MPI-based high-order three-dimensional spectral element method C++ toolbox is presented. The focus is put on the performance...
Christoph Bosshard, Roland Bouffanais, Christian C...
CIBCB
2007
IEEE
15 years 4 months ago
Spectral Decomposition of Signaling Networks
—Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks...
Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Merri...
PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 4 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang