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» A Modelling Framework for Functional Imagination
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106
Voted
CEC
2008
IEEE
15 years 10 months ago
NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization
— Since the Estimation of Distribution Algorithms (EDAs) have been introduced, several single model based EDAs and mixture model based EDAs have been developed. Take Gaussian mod...
Weishan Dong, Xin Yao
116
Voted
SIGIR
2010
ACM
15 years 3 months ago
Score distribution models: assumptions, intuition, and robustness to score manipulation
Inferring the score distribution of relevant and non-relevant documents is an essential task for many IR applications (e.g. information filtering, recall-oriented IR, meta-search,...
Evangelos Kanoulas, Keshi Dai, Virgiliu Pavlu, Jav...
135
Voted
MICCAI
2005
Springer
16 years 4 months ago
Physiological System Identification with the Kalman Filter in Diffuse Optical Tomography
Abstract. Diffuse optical tomography (DOT) is a noninvasive imaging technology that is sensitive to local concentration changes in oxyand deoxyhemoglobin. When applied to functiona...
Solomon Gilbert Diamond, Theodore J. Huppert, Vill...
126
Voted
CVPR
2006
IEEE
16 years 5 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
167
Voted
CVPR
2008
IEEE
16 years 5 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...