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1. Latent Image and Video Resolution Prediction using Convolutional Neural Networks

2. A Study of Shape Modeling Against Noise

4. Slow Kill for Big Data Learning

5. Training a Two Layer ReLU Network Analytically

6. Feature Selection with Annealing for Forecasting Financial Time Series

7. Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers

8. Online Feature Screening for Data Streams with Concept Drift

9. The Compact Support Neural Network

10. A study of local optima for learning feature interactions using neural networks

11. Neural Rule Ensembles: Encoding Sparse Feature Interactions into Neural Networks

12. Network Pruning via Annealing and Direct Sparsity Control

13. Playing Atari Ball Games with Hierarchical Reinforcement Learning

14. The Generalization-Stability Tradeoff In Neural Network Pruning

15. Are screening methods useful in feature selection? An empirical study

16. Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks

17. Unsupervised Learning of GMM with a Uniform Background Component

18. A Novel Framework for Online Supervised Learning with Feature Selection

19. Random Hinge Forest for Differentiable Learning

31. Generating Compact Tree Ensembles via Annealing

34. Parameterized Principal Component Analysis

36. RENOIR - A Dataset for Real Low-Light Image Noise Reduction

37. Face Detection with a 3D Model

38. Feature Selection with Annealing for Computer Vision and Big Data Learning

39. Learning Mixtures of Bernoulli Templates by Two-Round EM with Performance Guarantee

40. A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI

41. The Artificial Regression Market

42. Flux Trapping Implementation in High-Temperature Superconducting Magnets for Superconducting Electric Machines

43. Hierarchical Object Parsing from Structured Noisy Point Clouds

44. An Introduction to Artificial Prediction Markets for Classification

45. Dimension reduction and variable selection in case control studies via regularized likelihood optimization

46. SPADES and mixture models

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