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Found 6 papers, 1 papers with code
Prediction of Sewer Pipe Deterioration Using Random Forest Classification
Predictive models can effectively predict sewer pipe condition and can increase the certainty level of the predictive results and decrease uncertainty in the current condition of wastewater pipes.
Artificial Neural Networks and Adaptive Neuro-fuzzy Models for Prediction of Remaining Useful Life
The U. S. water distribution system contains thousands of miles of pipes constructed from different materials, and of various sizes, and age.
Meta Learning Deep Visual Words for Fast Video Object Segmentation
We address this problem by considering the task of video object segmentation.
Soft Correspondences in Multimodal Scene Parsing
We propose to address this issue, by formulating multimodal semantic labeling as inference in a CRF and introducing latent nodes to explicitly model inconsistencies between two modalities.
Cutting Edge: Soft Correspondences in Multimodal Scene Parsing
In this paper, we address the problem of data misalignment and label inconsistencies, e. g., due to moving objects, in semantic labeling, which violate the assumption of existing techniques.
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering
By contrast, nonparametric approaches, which bypass any learning phase and directly transfer the labels from the training data to the query images, can readily exploit new labeled samples as they become available.
