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ICASSP
2010
IEEE
15 years 6 months ago
Partial clustering using a time-varying frequency model for singing voice detection
We propose a new method to group partials produced by each instrument of a polyphonic audio mixture. This method works for pitched and harmonic instruments and is specially adapte...
Lise Regnier, Geoffroy Peeters
CIDM
2011
IEEE
14 years 10 months ago
A GPU-based interactive bio-inspired visual clustering
Abstract—In this work, we present an interactive visual clustering approach for the exploration and analysis of vast volumes of data. The proposed approach is based on a bio-insp...
Ugo Erra, Bernardino Frola, Vittorio Scarano
MICCAI
2009
Springer
16 years 7 months ago
A Cluster Overlap Measure for Comparison of Activations in fMRI Studies
Abstract. Most fMRI studies use voxel-wise statistics to carry out intrasubject as well as inter-subject analysis. We show that statistics derived from voxel-wise comparisons are l...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar ...
ICPR
2002
IEEE
16 years 7 months ago
Unsupervised Robust Clustering for Image Database Categorization
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...
Bertrand Le Saux, Nozha Boujemaa
ICASSP
2009
IEEE
16 years 1 months ago
Bandwidth adaptive hardware architecture of K-Means clustering for intelligent video processing
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
Tse-Wei Chen, Shao-Yi Chien