An interactive branch-and-bound algorithm for multiple criteria optimization
Management Science
Instance-Based Learning Algorithms
Machine Learning
A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Feature Selection for Clustering
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Feature Selection Algorithms: A Survey and Experimental Evaluation
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
An introduction to variable and feature selection
The Journal of Machine Learning Research
Margin based feature selection - theory and algorithms
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Information preserving multi-objective feature selection for unsupervised learning
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A gaze-based study for investigating the perception of visual realism in simulated scenes
ACM Transactions on Applied Perception (TAP)
Higher-Level Features in Speaker Recognition
Speaker Classification I
Perceptual Docking for Robotic Control
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
An autonomic sensing framework for body sensor networks
Proceedings of the ICST 2nd international conference on Body area networks
Optimal Feature Selection Applied to Multispectral Fluorescence Imaging
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Gaze-Contingent Motor Channelling and Haptic Constraints for Minimally Invasive Robotic Surgery
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Real-time identification of operating room state from video
IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
Development of a wireless sensor glove for surgicalskills assessment
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Task versus Subtask Surgical Skill Evaluation of Robotic Minimally Invasive Surgery
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
A probabilistic framework for tracking deformable soft tissue in minimally invasive surgery
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Eye-gaze driven surgical workflow segmentation
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Bayesian classification and feature selection from finite data sets
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Automatic detection and segmentation of robot-assisted surgical motions
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
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This paper describes a generic framework for activity recognition based on temporal signals acquired from multiple input modalities and demonstrates its use for eye-hand data fusion. As a part of the data fusion framework, we present a multi-objective Bayesian Framework for Feature Selection with a pruned-tree search algorithm for finding the optimal feature set(s) in a computationally efficient manner. Experiments on endoscopic surgical episode recognition are used to investigate the potential of using eye-tracking for pervasive monitoring of surgical operation and to demonstrate how additional information induced by hand motion can further enhance the recognition accuracy. With the proposed multi-objective BFFS algorithm, suitable feature sets both in terms of feature relevancy and redundancy can be identified with a minimal number of instruments being tracked.