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Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm.

, , , , , , , , and . Comput. Medical Imaging Graph., (2015)

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Unsupervised Object Discovery: A Comparison., , , and . International Journal of Computer Vision, 88 (2): 284-302 (2010)Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union., , , , , , , , and . CoRR, (2023)Mitigating Bias in Bayesian Optimized Data While Designing MacPherson Suspension Architecture., , , , , , and . IEEE Trans. Artif. Intell., 5 (2): 904-915 (February 2024)On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation., , , , and . MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 678-688. Springer, (2021)Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice., , , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 92-100. Springer, (2019)Perceptron Learning of SAT., and . NIPS, page 2780-2788. (2012)B-test: A Non-parametric, Low Variance Kernel Two-sample Test., , and . NIPS, page 755-763. (2013)Combinatorial optimization for low bit-width neural networks., , and . ICPR, page 2246-2252. IEEE, (2022)Slack and Margin Rescaling as Convex Extensions of Supermodular Functions.. EMMCVPR, volume 10746 of Lecture Notes in Computer Science, page 439-454. Springer, (2017)Branch and Bound Strategies for Non-maximal Suppression in Object Detection.. EMMCVPR, volume 6819 of Lecture Notes in Computer Science, page 385-398. Springer, (2011)