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INTERSPEECH
2010
14 years 10 months ago
Autoregressive clustering for HMM speech synthesis
The autoregressive HMM has been shown to provide efficient parameter estimation and high-quality synthesis, but in previous experiments decision trees derived from a non-autoregre...
Matt Shannon, William Byrne
JMLR
2010
99views more  JMLR 2010»
14 years 10 months ago
Characterization, Stability and Convergence of Hierarchical Clustering Methods
We study hierarchical clustering schemes under an axiomatic view. We show that within this framework, one can prove a theorem analogous to one of J. Kleinberg (Kleinberg, 2002), i...
Gunnar Carlsson, Facundo Mémoli
140
Voted
PE
2010
Springer
144views Optimization» more  PE 2010»
15 years 2 months ago
Capacity scaling of large wireless networks with heterogeneous clusters
We analyze the capacity scaling laws of wireless networks where the spatial distribution of nodes over the network area exhibits a high degree of clustering. In particular we cons...
Valentina Martina, Michele Garetto, Emilio Leonard...
149
Voted
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
15 years 1 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
133
Voted
STACS
2010
Springer
15 years 11 months ago
Online Correlation Clustering
We study the online clustering problem where data items arrive in an online fashion. The algorithm maintains a clustering of data items into similarity classes. Upon arrival of v, ...
Claire Mathieu, Ocan Sankur, Warren Schudy