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CVPR
2009
IEEE
15 years 5 months ago
Appearance-based Keypoint Clustering
We present an algorithm for clustering sets of detected interest points into groups that correspond to visually dis- tinct structure. Through the use of a suitable colour and tex...
Francisco J. Estrada, Pascal Fua, Sabine Süss...
PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
14 years 3 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
ICASSP
2008
IEEE
14 years 4 months ago
A method for locating multiple sources from a frame of a large-aperture microphone array data without tracking
In this paper we present a new method for locating multiple sound sources using only a local segment of data from a large-aperture microphone array. The result of this work may be...
Hoang Do, Harvey F. Silverman
ICASSP
2011
IEEE
13 years 1 months ago
Blind separation of multiple binary sources from one nonlinear mixture
We propose a new method for the blind separation of multiple binary signals from a single general nonlinear mixture. In addition to the usual independence assumption on the input ...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
ICANN
2010
Springer
13 years 11 months ago
A Directional Laplacian Density for Underdetermined Audio Source Separation
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
Nikolaos Mitianoudis