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» Document clustering using nonnegative matrix factorization
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CIKM
2008
Springer
13 years 10 months ago
Summarization of social activity over time: people, actions and concepts in dynamic networks
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...
Yu-Ru Lin, Hari Sundaram, Aisling Kelliher
ICASSP
2011
IEEE
13 years 12 days ago
Combining monaural source separation with Long Short-Term Memory for increased robustness in vocalist gender recognition
We present a novel and unique combination of algorithms to detect the gender of the leading vocalist in recorded popular music. Building on our previous successful approach that e...
Felix Weninger, Jean-Louis Durrieu, Florian Eyben,...
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
ESANN
2007
13 years 10 months ago
Kernel PCA based clustering for inducing features in text categorization
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Zsolt Minier, Lehel Csató
ICASSP
2011
IEEE
13 years 12 days ago
Co-clustering as multilinear decomposition with sparse latent factors
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos