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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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TCS
2002
15 years 6 months ago
A guide to membrane computing
Membrane systems are models of computation which are inspired by some basic features of biological membranes. In a membrane system multisets of objects are placed in the compartme...
Gheorghe Paun, Grzegorz Rozenberg
IJCV
2010
152views more  IJCV 2010»
15 years 5 months ago
Learning Articulated Structure and Motion
Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to learn the st...
David A. Ross, Daniel Tarlow, Richard S. Zemel
MICCAI
2010
Springer
15 years 5 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
WWW
2011
ACM
15 years 1 months ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee
ICPR
2004
IEEE
16 years 8 months ago
Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model...
David A. Clausi, Huawu Deng