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AAAI
2008
15 years 9 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
FMOODS
2007
15 years 8 months ago
Verifying Distributed, Event-Based Middleware Applications Using Domain-Specific Software Model Checking
The success of distributed event-based infrastructures such as SIENA and Elvin is partially due to their ease of use. Even novice users of these infrastructures not versed in distr...
L. Ruhai Cai, Jeremy S. Bradbury, Jürgen Ding...
MVA
2007
108views Computer Vision» more  MVA 2007»
15 years 8 months ago
Furniture Model Creation Based on Direct Teaching to a Mobile Robot
— In this paper, a modeling method to handle furniture is proposed. In real environment, there is a lot of furniture such as drawer, cabinet and so on. If mobile robots can handl...
Kimitoshi Yamazaki, Takashi Tsubouchi, Masahiro To...
ISMB
1993
15 years 8 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
CORR
2010
Springer
171views Education» more  CORR 2010»
15 years 6 months ago
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...