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ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
15 years 2 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
JMLR
2010
112views more  JMLR 2010»
14 years 12 months ago
Reduced-Rank Hidden Markov Models
Hsu et al. (2009) recently proposed an efficient, accurate spectral learning algorithm for Hidden Markov Models (HMMs). In this paper we relax their assumptions and prove a tighte...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
140
Voted
KDD
2003
ACM
144views Data Mining» more  KDD 2003»
16 years 5 months ago
Clinical and financial outcomes analysis with existing hospital patient records
Existing patient records are a valuable resource for automated outcomes analysis and knowledge discovery. However, key clinical data in these records is typically recorded in unst...
R. Bharat Rao, Sathyakama Sandilya, Radu Stefan Ni...
SPEECH
2011
15 years 10 hour ago
The importance of phase in speech enhancement
Typical speech enhancement methods, based on the short-time Fourier analysis-modification-synthesis (AMS) framework, modify only the magnitude spectrum and keep the phase spectru...
Kuldip K. Paliwal, Kamil K. Wójcicki, Benja...
CIKM
2008
Springer
15 years 7 months ago
Viability of in-house datamarting approaches for population genetics analysis of snp genotypes
Background: Databases containing very large amounts of SNP (Single Nucleotide Polymorphism) data are now freely available for researchers interested in medical and/or population g...
Jorge Amigo, Christopher Phillips, Antonio Salas