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  1. Medical Image Retrieval System using an Improved MLP Neural Network‏‎ (16:41, 17. Jun. 2016)
  2. Automated content based image retrieval using wavelets‏‎ (16:54, 17. Jun. 2016)
  3. Colour and texture feature-based image retrieval by using Hadamard matrix in discrete wavelet transform‏‎ (18:29, 17. Jun. 2016)
  4. Framework for image retrieval using machine learning and statistical similarity matching techniques‏‎ (18:36, 17. Jun. 2016)
  5. Content-based image retrieval using the combination of the fast wavelet transformation and the colour histogram‏‎ (18:44, 17. Jun. 2016)
  6. Image Retrieval based on 72-Trees and Genetic Algorithm‏‎ (18:55, 17. Jun. 2016)
  7. Content Based Image Retrieval using interactive genetic algorithm‏‎ (13:12, 18. Jun. 2016)
  8. Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval‏‎ (13:38, 18. Jun. 2016)
  9. Self organizing natural scene image retrieval‏‎ (13:50, 18. Jun. 2016)
  10. A survey of content-based image retrieval with high-level semantics‏‎ (13:57, 18. Jun. 2016)
  11. Database architecture for content-based image retrieval‏‎ (14:04, 18. Jun. 2016)
  12. A survey on content based image retrieval‏‎ (14:43, 18. Jun. 2016)
  13. A Genetic Algorithm Applied to Content-Based Image Retrieval for Natural Scenes Classification‏‎ (14:46, 18. Jun. 2016)
  14. Efficient similarity measure via Genetic algorithm for content based medical image retrieval with extensive features‏‎ (15:00, 18. Jun. 2016)
  15. Distance-based relevance feedback using a hybrid interactive genetic algorithm for image retrieval‏‎ (22:28, 18. Jun. 2016)
  16. Support vector machine concept-dependent active learning for image retrieval‏‎ (22:42, 18. Jun. 2016)
  17. Hyperplane queries in a feature-space m-tree for speeding up active learning‏‎ (22:54, 18. Jun. 2016)
  18. Image retrieval using heuristic approach and genetic algorithm‏‎ (23:03, 18. Jun. 2016)
  19. Sub-linear active learning strategy with approximate k-nn search‏‎ (23:19, 18. Jun. 2016)
  20. Active learning methods for interactive image retrieval‏‎ (12:23, 19. Jun. 2016)
  21. Semi-supervised svm batch mode active learning for image retrieval‏‎ (12:34, 19. Jun. 2016)
  22. Active learning in very large databases‏‎ (12:43, 19. Jun. 2016)
  23. Relative attributes‏‎ (13:16, 19. Jun. 2016)
  24. Hybdrid Content Based Image Retrieval combining multi-objective interactive genetic algorithm and SVM‏‎ (13:23, 19. Jun. 2016)
  25. A novel evolutionary approach for optimizing content-based image indexing algorithms‏‎ (13:43, 19. Jun. 2016)
  26. Content-based retrieval using a multiobjective genetic algorithm‏‎ (19:43, 19. Jun. 2016)
  27. An improved interactive genetic algorithm incorporating relevant feedback‏‎ (19:49, 19. Jun. 2016)
  28. Content-based retrieval using heuristic search‏‎ (20:18, 19. Jun. 2016)
  29. Hill climbing algorithms for content-based retrieval of similar configurations‏‎ (20:27, 19. Jun. 2016)
  30. An Image Retrieval Method Based on a Genetic Algorithm‏‎ (20:39, 19. Jun. 2016)
  31. Design and implementation of Web-based systems for image segmentation and CBIR‏‎ (14:24, 20. Jun. 2016)
  32. A memory learning framework for effective image retrieval‏‎ (14:44, 20. Jun. 2016)
  33. A human-oriented image retrieval system using interactive genetic algorithm‏‎ (14:53, 20. Jun. 2016)
  34. A survey of the use of pattern recognition methods for abstraction, indexing and retrieval of images and video‏‎ (15:22, 20. Jun. 2016)
  35. Relevance feedback in content-based image retrieval: Some recent advances‏‎ (15:33, 20. Jun. 2016)
  36. Rating Image Aesthetics Using Deep Learning‏‎ (16:16, 20. Jun. 2016)
  37. A fast and effective model for wavelet subband histograms and its application in texture image retrieval‏‎ (19:59, 20. Jun. 2016)
  38. Deep multi-patch aggregation network for image style, aesthetics, and quality estimation‏‎ (20:42, 20. Jun. 2016)
  39. Texture image retrieval using new rotated complex wavelet filters‏‎ (09:11, 21. Jun. 2016)
  40. Fractal indexing with the joint statistical properties and its application in texture image retrieval‏‎ (09:22, 21. Jun. 2016)
  41. Color and texture image retrieval using chromaticity histograms and wavelet frames‏‎ (09:38, 21. Jun. 2016)
  42. Content-based image retrieval using multiresolution color and texture features‏‎ (11:30, 21. Jun. 2016)
  43. The MPEG-7 visual standard for content description — An overview‏‎ (13:05, 21. Jun. 2016)
  44. Adaptive image retrieval through the use of a genetic algorithm‏‎ (13:14, 21. Jun. 2016)
  45. Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns‏‎ (13:22, 21. Jun. 2016)
  46. Content-based image retrieval via the multiresolution wavelet features of interest‏‎ (13:29, 21. Jun. 2016)
  47. A user-oriented image retrieval system based on interactive genetic algorithm‏‎ (13:51, 21. Jun. 2016)
  48. A genetic algorithm for target tracking in FLIR video sequences using intensity variation function‏‎ (13:51, 21. Jun. 2016)
  49. Content-based image retrieval at the end of the early years‏‎ (20:47, 21. Jun. 2016)
  50. On the ‘dimensionality curse’ and the ‘self-similarity blessing‏‎ (18:08, 22. Jun. 2016)

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