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  1. Semi-supervised svm batch mode active learning for image retrieval‏‎ (13:34, 19. Jun. 2016)
  2. Active learning in very large databases‏‎ (13:43, 19. Jun. 2016)
  3. Relative attributes‏‎ (14:16, 19. Jun. 2016)
  4. Hybdrid Content Based Image Retrieval combining multi-objective interactive genetic algorithm and SVM‏‎ (14:23, 19. Jun. 2016)
  5. A novel evolutionary approach for optimizing content-based image indexing algorithms‏‎ (14:43, 19. Jun. 2016)
  6. Content-based retrieval using a multiobjective genetic algorithm‏‎ (20:43, 19. Jun. 2016)
  7. An improved interactive genetic algorithm incorporating relevant feedback‏‎ (20:49, 19. Jun. 2016)
  8. Content-based retrieval using heuristic search‏‎ (21:18, 19. Jun. 2016)
  9. Hill climbing algorithms for content-based retrieval of similar configurations‏‎ (21:27, 19. Jun. 2016)
  10. An Image Retrieval Method Based on a Genetic Algorithm‏‎ (21:39, 19. Jun. 2016)
  11. Design and implementation of Web-based systems for image segmentation and CBIR‏‎ (15:24, 20. Jun. 2016)
  12. A memory learning framework for effective image retrieval‏‎ (15:44, 20. Jun. 2016)
  13. A human-oriented image retrieval system using interactive genetic algorithm‏‎ (15:53, 20. Jun. 2016)
  14. A survey of the use of pattern recognition methods for abstraction, indexing and retrieval of images and video‏‎ (16:22, 20. Jun. 2016)
  15. Relevance feedback in content-based image retrieval: Some recent advances‏‎ (16:33, 20. Jun. 2016)
  16. Rating Image Aesthetics Using Deep Learning‏‎ (17:16, 20. Jun. 2016)
  17. A fast and effective model for wavelet subband histograms and its application in texture image retrieval‏‎ (20:59, 20. Jun. 2016)
  18. Deep multi-patch aggregation network for image style, aesthetics, and quality estimation‏‎ (21:42, 20. Jun. 2016)
  19. Texture image retrieval using new rotated complex wavelet filters‏‎ (10:11, 21. Jun. 2016)
  20. Fractal indexing with the joint statistical properties and its application in texture image retrieval‏‎ (10:22, 21. Jun. 2016)
  21. Color and texture image retrieval using chromaticity histograms and wavelet frames‏‎ (10:38, 21. Jun. 2016)
  22. Content-based image retrieval using multiresolution color and texture features‏‎ (12:30, 21. Jun. 2016)
  23. The MPEG-7 visual standard for content description — An overview‏‎ (14:05, 21. Jun. 2016)
  24. Adaptive image retrieval through the use of a genetic algorithm‏‎ (14:14, 21. Jun. 2016)
  25. Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns‏‎ (14:22, 21. Jun. 2016)
  26. Content-based image retrieval via the multiresolution wavelet features of interest‏‎ (14:29, 21. Jun. 2016)
  27. A user-oriented image retrieval system based on interactive genetic algorithm‏‎ (14:51, 21. Jun. 2016)
  28. A genetic algorithm for target tracking in FLIR video sequences using intensity variation function‏‎ (14:51, 21. Jun. 2016)
  29. Content-based image retrieval at the end of the early years‏‎ (21:47, 21. Jun. 2016)
  30. On the ‘dimensionality curse’ and the ‘self-similarity blessing‏‎ (19:08, 22. Jun. 2016)
  31. Genetic-based approaches in ranking function discovery and optimization in information retrieval – a framework‏‎ (20:00, 22. Jun. 2016)
  32. Feature selection based-on genetic algorithm for image annotation‏‎ (20:13, 22. Jun. 2016)
  33. A review of content-based image retrieval systems in medical applications – clinical benefits and future directions‏‎ (21:11, 22. Jun. 2016)
  34. Ranking evaluation functions to improve genetic feature selection in content-based image retrieval of mammograms‏‎ (21:24, 22. Jun. 2016)
  35. A genetic programming framework for content-based image retrieval‏‎ (21:31, 22. Jun. 2016)
  36. Improving the ranking quality of medical image retrieval using a genetic feature selection method‏‎ (21:32, 22. Jun. 2016)
  37. Feature selection based on genetic algorithm for CBIR‏‎ (21:39, 22. Jun. 2016)
  38. Content based image retrieval with fuzzy geometrical features‏‎ (14:20, 24. Jun. 2016)
  39. Symmetry feature in content-based image retrieval‏‎ (14:29, 24. Jun. 2016)
  40. Content based image retrieval using color boosted salient points and shape features of an image‏‎ (14:43, 24. Jun. 2016)
  41. Content-based image retrieval via subspace-projected salient features‏‎ (20:13, 24. Jun. 2016)
  42. Color and shape index for region-based image retrieval‏‎ (20:21, 24. Jun. 2016)
  43. Using genetic algorithm to improve information retrieval systems‏‎ (20:29, 24. Jun. 2016)
  44. Salient points reduction for content-based image retrieval‏‎ (20:37, 24. Jun. 2016)
  45. An effective similarity measure via genetic algorithm for Content-Based Image Retrieval with extensive features‏‎ (20:38, 24. Jun. 2016)
  46. Animated drawings rendered by genetic programming‏‎ (21:09, 24. Jun. 2016)
  47. Enhancing information retrieval by automatic acquisition of textual relations using genetic programming‏‎ (13:42, 25. Jun. 2016)
  48. Genetic approach to query space exploration‏‎ (13:51, 25. Jun. 2016)
  49. On using genetic algorithms for multimodal relevance optimization in information retrieval‏‎ (13:59, 25. Jun. 2016)
  50. Multiple query evaluation based on an enhanced genetic algorithm‏‎ (14:15, 25. Jun. 2016)

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