Learning and Classification of Complex Dynamics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatically tracking and analyzing the behavior of live insect colonies
Proceedings of the fifth international conference on Autonomous agents
Image Segmentation by Data-Driven Markov Chain Monte Carlo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Bayesian Fault Detection and Diagnosis in Dynamic Systems
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Variational Learning for Switching State-Space Models
Neural Computation
Particle filters for state estimation of jump Markov linear systems
IEEE Transactions on Signal Processing
Hierarchical visualization of time-series data using switching linear dynamical systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems
International Journal of Computer Vision
Activity recognition via user-trace segmentation
ACM Transactions on Sensor Networks (TOSN)
Approximate forward-backward algorithm for a switching linear Gaussian model
Computational Statistics & Data Analysis
Planning in partially-observable switching-mode continuous domains
Annals of Mathematics and Artificial Intelligence
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We define a generalized strategy eliminability criterion for bimatrix games that considers whether a given strategy is eliminable relative to given dominator & eliminee subsets of the players' strategies. We show that this definition spans a spectrum ...