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Found 5 papers, 0 papers with code
One Snapshot is All You Need: A Generalized Method for mmWave Signal Generation
Wireless sensing systems, particularly those using mmWave technology, offer distinct advantages over traditional vision-based approaches, such as enhanced privacy and effectiveness in poor lighting conditions.
Learning Decisions Offline from Censored Observations with ε-insensitive Operational Costs
Without assuming the underlying distribution, we design and leverage {\epsilon}-insensitive operational costs to deal with the unobserved censoring in an offline data-driven fashion.
Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction
The idea of the proposed MMA is mainly two-fold: 1) apply different $L_p$-norm on loss function and regularization to form different variant models in different metric spaces, and 2) aggregate these variant models.
Auto-Focus Contrastive Learning for Image Manipulation Detection
However, we argue that those models achieve sub-optimal detection performance as it tends to: 1) distinguish the manipulation traces from a lot of noisy information within the entire image, and 2) ignore the trace relations among the pixels of each manipulated region and its surroundings.
JANOS: An Integrated Predictive and Prescriptive Modeling Framework
The framework considers two sets of decision variables; regular and predicted.
