On the regularization of Wasserstein GANs. A representer theorem for deep kernel learning. Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers. Robust Decentralized Learning Using ADMM with Unreliable Agents. Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network. EVE: Explainable Vecto …

Deep Detection of People and their Mobility Aids for a Hospital Robot. Contour and Centreline Tracking of Vessels from Angiograms using the Classical Image Processing Techniques. Learning to Learn from Weak Supervision by Full Supervision. Learning Relevant Features of Data with Multi-scale Tensor Networks. Exploiting the potential of unlabeled end …

Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets. Exponentially vanishing sub-optimal local minima in multilayer neural networks. Prediction of the progression of subcortical brain structures in Alzheimer’s disease from baseline. Genetic Algorithm Based Floor Planning System. On the Ontological Modeling of …

Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks. A Unified Approach to Interpreting Model Predictions. KATE: K-Competitive Autoencoder for Text. Backtracking Regression Forests for Accurate Camera Relocalization. ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Lo …

Image Identification Using SIFT Algorithm: Performance Analysis against Different Image Deformations. A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition. Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps. Beyond Log-concavity: Provable Guarant …

Parallelized Kendall’s Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors. A total uncertainty measure for D numbers based on belief intervals. PSA: A novel optimization algorithm based on survival rules of porcellio scaber. Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Fo …