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PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
15 years 4 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
ECCV
2008
Springer
15 years 11 months ago
Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
This paper improves recent methods for large scale image search. State-of-the-art methods build on the bag-of-features image representation. We, first, analyze bag-of-features in t...
Herve Jegou, Matthijs Douze, Cordelia Schmid
ML
2008
ACM
248views Machine Learning» more  ML 2008»
14 years 9 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
UAI
2000
14 years 10 months ago
Probabilistic Arc Consistency: A Connection between Constraint Reasoning and Probabilistic Reasoning
We document a connection between constraint reasoning and probabilistic reasoning. We present an algorithm, called probabilistic arc consistency, which is both a generalization of...
Michael C. Horsch, William S. Havens
IROS
2007
IEEE
135views Robotics» more  IROS 2007»
15 years 3 months ago
Power-SLAM: A linear-complexity, consistent algorithm for SLAM
— In this paper, we present an Extended Kalman Filter (EKF)-based estimator for simultaneous localization and mapping (SLAM) with processing requirements that are linear in the n...
Esha D. Nerurkar, Stergios I. Roumeliotis