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NIPS
2004
15 years 6 months ago
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
Hyun-Jin Park, Te-Won Lee
ICA
2010
Springer
15 years 4 months ago
Adaptive Segmentation and Separation of Determined Convolutive Mixtures under Dynamic Conditions
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...
Benedikt Loesch, Bin Yang
ICASSP
2011
IEEE
14 years 8 months ago
Separation and tracking of multiple speakers in a reverberant environment using a multiple model particle filter glimpsing metho
In this paper, we explore the problem of separating and localizing multiple maneuvering speakers in a reverberant environment. Moreover, the speakers can become silent intermitten...
Alireza Masnadi-Shirazi, Bhaskar D. Rao
SPEECH
2011
14 years 11 months ago
A multistage approach to blind separation of convolutive speech mixtures
We propose a novel algorithm for the separation of convolutive speech mixtures using two-microphone recordings, based on the combination of independent component analysis (ICA) an...
Tariqullah Jan, Wenwu Wang, DeLiang Wang
150
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ICML
2006
IEEE
16 years 5 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade