187 results on '"Moulin, Pierre"'
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2. Towards Universal Adversarial Examples and Defenses
3. Robust Machine Learning via Privacy/ Rate-Distortion Theory
4. Deep Semi-Supervised Metric Learning Via Identification of Manifold Memberships
5. Locally Optimal Detection of Stochastic Targeted Universal Adversarial Perturbations
6. Fast Locally Optimal Detection of Targeted Universal Adversarial Perturbations.
7. A New Variational Method for Deep Supervised Semantic Image Hashing
8. Lap-Based Video Frame Interpolation
9. RANDOM ENSEMBLE OF LOCALLY OPTIMUM DETECTORS FOR DETECTION OF ADVERSARIAL EXAMPLES
10. Robust Visual Tracking Using Oblique Random Forests
11. Locally optimal detection of adversarial inputs to image classifiers
12. Source coding with distortion profile constraints
13. Lower bounds on rate of fixed-length source codes under average- and 6-fidelity constraints
14. Information-theoretic characterizations of Markov random fields and subfields
15. Convergence rates of inertial splitting schemes for nonconvex composite optimization
16. Active Online Anomaly Detection Using Dirichlet Process Mixture Model and Gaussian Process Classification
17. On Information-Theoretic Characterizations of Markov Random Fields and Subfields.
18. Asymptotically achievable error probabilities for multiple hypothesis testing
19. Approximationorder of the lap optical flow algorithm
20. Multi-feature hashing based on SNR maximization
21. Motion Part Regularization: Improving action recognition via trajectory group selection
22. Strong large deviations for Rao test score and GLRT in exponential families
23. Multi-manifold deep metric learning for image set classification
24. On MMSE estimation from quantized observations in the nonasymptotic regime
25. SNR maximization hashing for learning compact binary codes
26. Convergence of an inertial proximal method for l1-regularized least-squares
27. A classification centric quantizer for efficient encoding of predictive feature errors
28. The Log-Volume of Optimal Codes for Memoryless Channels, Asymptotically Within a Few Nats.
29. Beta Process Multiple Kernel Learning
30. Second-order capacities of erasure and list decoding
31. Strong large deviations for composite hypothesis testing
32. Fingerprint information maximization for content identification
33. A two-part predictive coder for multitask signal compression
34. Manipulation Pattern Discovery: A Nonparametric Bayesian Approach
35. Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning
36. A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks
37. Keynote speaker III: Information embedding: From theory to practice
38. On MMSE estimation from quantized observations in the nonasymptotic regime.
39. Strong large deviations for Rao test score and GLRT in exponential families.
40. Motion Part Regularization: Improving action recognition via trajectory group selection.
41. Deep hashing for compact binary codes learning.
42. Multi-manifold deep metric learning for image set classification.
43. Asymptotic Neyman-Pearson games for converse to the channel coding theorem
44. RGB-D video content identification
45. Multiview discriminative learning for age-invariant face recognition
46. Localized Multifeature Metric Learning for Image-Set-Based Face Recognition.
47. SNR Maximization Hashing.
48. Order Preserving Sparse Coding.
49. Online learning with kernels: Overcoming the growing sum problem
50. Real Adaboost for content identification
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