Combining Belief Networks and Neural Networks for Scene Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mini-buckets: A general scheme for bounded inference
Journal of the ACM (JACM)
Approximate inference in Boltzmann machines
Artificial Intelligence
Physical network models and multi-source data integration
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
An Empirical Study of Probabilistic Arc Consistency
CP '02 Proceedings of the 6th International Conference on Principles and Practice of Constraint Programming
Accuracy vs. efficiency trade-offs in probabilistic diagnosis
Eighteenth national conference on Artificial intelligence
Understanding belief propagation and its generalizations
Exploring artificial intelligence in the new millennium
Linear response algorithms for approximate inference in graphical models
Neural Computation
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Joint source-channel decoding of variable-length codes with soft information: a survey
EURASIP Journal on Applied Signal Processing
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
An edge deletion semantics for belief propagation and its practical impact on approximation quality
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Learning to analyze binary computer code
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Focusing generalizations of belief propagation on targeted queries
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Many-pairs mutual information for adding structure to belief propagation approximations
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Cutset sampling for Bayesian networks
Journal of Artificial Intelligence Research
Latent tree models and approximate inference in Bayesian networks
Journal of Artificial Intelligence Research
A new framework for machine learning
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
MRF labeling with a graph-shifts algorithm
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
Approximate inference on planar graphs using loop calculus and belief propagation
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Bayesian compressive sensing via belief propagation
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience
Nonparametric belief propagation
Communications of the ACM
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
The Journal of Machine Learning Research
Decentralised Supply Chain Formation: A Belief Propagation-based Approach
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Variational segmentation algorithms with label frequency constraints
Pattern Recognition and Image Analysis
Learning conditional random fields for classification of hyperspectral images
IEEE Transactions on Image Processing
Bayesian knowledge corroboration with logical rules and user feedback
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Classification and Semantic Mapping of Urban Environments
International Journal of Robotics Research
Indoor positioning using nonparametric belief propagation based on spanning trees
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise
Proceedings of the fourth ACM international conference on Web search and data mining
Probabilistic reasoning for assembly-based 3D modeling
ACM SIGGRAPH 2011 papers
Inference scene labeling by incorporating object detection with explicit shape model
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Conditional random fields for urban scene classification with full waveform LiDAR data
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Probabilistic arc consistency: a connection between constraint reasoning and probabilistic reasoning
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Expectation propagation for approximate Bayesian inference
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Belief optimization for binary networks: a stable alternative to loopy belief propagation
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Empirical evaluation of approximation algorithms for probabilistic decoding
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Pattern Recognition Letters
International Journal of Computer Vision
Simultaneous localization and surveying with multiple agents
Switching and Learning in Feedback Systems
Structured Learning and Prediction in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
On Learning Conditional Random Fields for Stereo
International Journal of Computer Vision
Segmentation and classification of objects with implicit scene context
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Applying piecewise approximation in perceptron training of conditional random fields
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Computer Vision and Image Understanding
Oblivious bounds on the probability of boolean functions
ACM Transactions on Database Systems (TODS)
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