Mobile museum guide based on fast SIFT recognition

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Effective Prognostics and Health Management (PHM) relies on accurate prediction of the Remaining Useful Life (RUL). Data-driven RUL prediction techniques rely heavily on the representativeness of the available time-to-failure trajectories. Therefore, these ...

Deep learning has revolutionized the field of computer vision, a success largely attributable to the growing size of models, datasets, and computational power. Simultaneously, a critical pain point arises as several computer vision applications are deploye ...

Clustering in education, particularly in large-scale online environments like MOOCs, is essential for understanding and adapting to diverse student needs. However, the effectiveness of clustering depends on its interpretability, which becomes challenging w ...

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Mobile museum guide based on fast SIFT recognition

Chat with Graph Search

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

Rigidity-Aware Detection for 6D Object Pose Estimation

Fairness and Explainability in Clustering Problems

Transfer learning application of self-supervised learning in ARPES

Detecting Anomalies and Obstacles in Road Scenes

Region Extraction in Mesh Intersection

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining

Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation

SoDaCam: Software-defined Cameras via Single-Photon Imaging

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Improving K-means Clustering Using Speculation

How deep convolutional neural networks lose spatial information with training

Image-based geometric digital twinning for stone masonry elements

Improving the Training of Compact Neural Networks for Visual Recognition

Single-Trace Clustering Power Analysis of the Point-Swapping Procedure in the Three Point Ladder of Cortex-M4 SIKE

Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap

iPool--Information-Based Pooling in Hierarchical Graph Neural Networks

LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection