56 results on '"Xue, Jing-Hao"'
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2. Query-centric distance modulator for few-shot classification
3. A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification
4. DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation analysis using hand HR-pQCT images
5. VPCFormer: A transformer-based multi-view finger vein recognition model and a new benchmark
6. Deep metric learning for few-shot image classification: A Review of recent developments
7. Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images
8. The neglected background cues can facilitate finger vein recognition
9. ReNAP: Relation network with adaptiveprototypical learning for few-shot classification
10. ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment
11. Constrained mutual convex cone method for image set based recognition
12. Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches
13. Deep InterBoost networks for small-sample image classification
14. A concise review of recent few-shot meta-learning methods
15. RFRN: A recurrent feature refinement network for accurate and efficient scene text detection
16. 3D-TDC: A 3D temporal dilation convolution framework for video action recognition
17. TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild
18. Mutual-learning sequence-level knowledge distillation for automatic speech recognition
19. Generalisations of stochastic supervision models
20. Hyperspectral image denoising based on low-rank coefficients and orthonormal dictionary
21. Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement
22. Defocus map estimation from a single image using improved likelihood feature and edge-based basis
23. Data-augmented matched subspace detector for hyperspectral subpixel target detection
24. Inter-class angular margin loss for face recognition
25. Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition
26. Assimilation of remote sensing into crop growth models: Current status and perspectives
27. Learning distance to subspace for the nearest subspace methods in high-dimensional data classification
28. Cone-based joint sparse modelling for hyperspectral image classification
29. On the orthogonal distance to class subspaces for high-dimensional data classification
30. The matched subspace detector with interaction effects
31. Joint sparse model-based discriminative K-SVD for hyperspectral image classification
32. Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data
33. Randomized time warping for motion recognition
34. A novel hierarchical framework for human action recognition
35. MiLDA: A graph embedding approach to multi-view face recognition
36. Embedding metric learning into set-based face recognition for video surveillance
37. Statistical hypothesis testing as a novel perspective of pooling for image quality assessment
38. Fisher׳s linear discriminant embedded metric learning
39. Detection of user-registered dog faces
40. On selecting interacting features from high-dimensional data
41. On the generative–discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance
42. Interpretation of hybrid generative/discriminative algorithms
43. Real-MFF: A large realistic multi-focus image dataset with ground truth
44. Adjusting the imbalance ratio by the dimensionality of imbalanced data
45. MSDH: Matched subspace detector with heterogeneous noise
46. LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test
47. Special Issue on Advances in Statistical Methods-based Visual Quality Assessment
48. Ridler and Calvard’s, Kittler and Illingworth’s and Otsu’s methods for image thresholding
49. Median-based image thresholding
50. The [formula omitted]-folded cumulative distribution function and the mean absolute deviation from the [formula omitted]-quantile
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