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» Modeling Signs Using Functional Data Analysis
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ICML
2005
IEEE
14 years 8 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
ICIP
2001
IEEE
14 years 9 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
SMI
2005
IEEE
14 years 1 months ago
Volumetric Data Analysis using Morse-Smale Complexes
The 3D Morse-Smale complex is a fundamental topological construct that partitions the domain of a real-valued function into regions having uniform gradient flow behavior. In this...
Vijay Natarajan, Valerio Pascucci
RECOMB
2001
Springer
13 years 12 months ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald
CSDA
2008
80views more  CSDA 2008»
13 years 7 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde