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» Incorporating prior knowledge in fuzzy model identification
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BIBE
2007
IEEE
147views Bioinformatics» more  BIBE 2007»
14 years 1 months ago
A New Alignment-Independent Algorithm for Clustering Protein Sequences
—The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important, the challenge is to identify subfamilies of evolut...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski
IPMI
2011
Springer
12 years 11 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
IPMI
2007
Springer
14 years 8 months ago
Lung Nodule Detection Via Bayesian Voxel Labeling
This paper describes a system for detecting pulmonary nodules in CT images. It aims to label individual image voxels in accordance to one of a number of anatomical (pulmonary vesse...
Paulo R. S. Mendonça, Rahul Bhotika, Fei Zh...
ICDM
2007
IEEE
184views Data Mining» more  ICDM 2007»
14 years 1 months ago
Bayesian Folding-In with Dirichlet Kernels for PLSI
Probabilistic latent semantic indexing (PLSI) represents documents of a collection as mixture proportions of latent topics, which are learned from the collection by an expectation...
Alexander Hinneburg, Hans-Henning Gabriel, Andr&eg...
CORR
2010
Springer
121views Education» more  CORR 2010»
13 years 4 months ago
Universal Rate-Efficient Scalar Quantization
Scalar quantization is the most practical and straightforward approach to signal quantization. However, it has been shown that scalar quantization of oversampled or Compressively ...
Petros Boufounos