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ISVC
2010
Springer
13 years 6 months ago
Attention-Based Target Localization Using Multiple Instance Learning
Abstract. We propose a novel Multiple Instance Learning (MIL) framework to perform target localization from image sequences. The proposed approach consists of a softmax logistic re...
Karthik Sankaranarayanan, James W. Davis
WSC
1998
13 years 9 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
CSDA
2010
111views more  CSDA 2010»
13 years 7 months ago
Mixtures of regressions with predictor-dependent mixing proportions
We extend the standard mixture of linear regressions model by allowing mixing proportions to be modeled nonparametrically as a function of the predictors. This framework allows fo...
D. S. Young, D. R. Hunter
ADAEUROPE
2007
Springer
13 years 9 months ago
Automatic Ada Code Generation Using a Model-Driven Engineering Approach
Currently, Model-Driven Engineering (MDE) is considered one of the most promising approaches for software development. In this paper, a simple but complete example based on state-m...
Diego Alonso, Cristina Vicente-Chicote, Pedro S&aa...
ADMA
2005
Springer
117views Data Mining» more  ADMA 2005»
13 years 9 months ago
Context-Sensitive Regression Analysis for Distributed Data
A precondition of existing ensemble-based distributed data mining techniques is the assumption that contributing data are identically and independently distributed. However, this a...
Yan Xing, Michael G. Madden, Jim Duggan, Gerard Ly...