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  1. Design and implementation of Web-based systems for image segmentation and CBIR‏‎ (16:24, 20. Jun. 2016)
  2. A memory learning framework for effective image retrieval‏‎ (16:44, 20. Jun. 2016)
  3. A human-oriented image retrieval system using interactive genetic algorithm‏‎ (16:53, 20. Jun. 2016)
  4. A survey of the use of pattern recognition methods for abstraction, indexing and retrieval of images and video‏‎ (17:22, 20. Jun. 2016)
  5. Relevance feedback in content-based image retrieval: Some recent advances‏‎ (17:33, 20. Jun. 2016)
  6. Rating Image Aesthetics Using Deep Learning‏‎ (18:16, 20. Jun. 2016)
  7. A fast and effective model for wavelet subband histograms and its application in texture image retrieval‏‎ (21:59, 20. Jun. 2016)
  8. Deep multi-patch aggregation network for image style, aesthetics, and quality estimation‏‎ (22:42, 20. Jun. 2016)
  9. Texture image retrieval using new rotated complex wavelet filters‏‎ (11:11, 21. Jun. 2016)
  10. Fractal indexing with the joint statistical properties and its application in texture image retrieval‏‎ (11:22, 21. Jun. 2016)
  11. Color and texture image retrieval using chromaticity histograms and wavelet frames‏‎ (11:38, 21. Jun. 2016)
  12. Content-based image retrieval using multiresolution color and texture features‏‎ (13:30, 21. Jun. 2016)
  13. The MPEG-7 visual standard for content description — An overview‏‎ (15:05, 21. Jun. 2016)
  14. Adaptive image retrieval through the use of a genetic algorithm‏‎ (15:14, 21. Jun. 2016)
  15. Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns‏‎ (15:22, 21. Jun. 2016)
  16. Content-based image retrieval via the multiresolution wavelet features of interest‏‎ (15:29, 21. Jun. 2016)
  17. A user-oriented image retrieval system based on interactive genetic algorithm‏‎ (15:51, 21. Jun. 2016)
  18. A genetic algorithm for target tracking in FLIR video sequences using intensity variation function‏‎ (15:51, 21. Jun. 2016)
  19. Content-based image retrieval at the end of the early years‏‎ (22:47, 21. Jun. 2016)
  20. On the ‘dimensionality curse’ and the ‘self-similarity blessing‏‎ (20:08, 22. Jun. 2016)
  21. Genetic-based approaches in ranking function discovery and optimization in information retrieval – a framework‏‎ (21:00, 22. Jun. 2016)
  22. Feature selection based-on genetic algorithm for image annotation‏‎ (21:13, 22. Jun. 2016)
  23. A review of content-based image retrieval systems in medical applications – clinical benefits and future directions‏‎ (22:11, 22. Jun. 2016)
  24. Ranking evaluation functions to improve genetic feature selection in content-based image retrieval of mammograms‏‎ (22:24, 22. Jun. 2016)
  25. A genetic programming framework for content-based image retrieval‏‎ (22:31, 22. Jun. 2016)
  26. Improving the ranking quality of medical image retrieval using a genetic feature selection method‏‎ (22:32, 22. Jun. 2016)
  27. Feature selection based on genetic algorithm for CBIR‏‎ (22:39, 22. Jun. 2016)
  28. Content based image retrieval with fuzzy geometrical features‏‎ (15:20, 24. Jun. 2016)
  29. Symmetry feature in content-based image retrieval‏‎ (15:29, 24. Jun. 2016)
  30. Content based image retrieval using color boosted salient points and shape features of an image‏‎ (15:43, 24. Jun. 2016)
  31. Content-based image retrieval via subspace-projected salient features‏‎ (21:13, 24. Jun. 2016)
  32. Color and shape index for region-based image retrieval‏‎ (21:21, 24. Jun. 2016)
  33. Using genetic algorithm to improve information retrieval systems‏‎ (21:29, 24. Jun. 2016)
  34. Salient points reduction for content-based image retrieval‏‎ (21:37, 24. Jun. 2016)
  35. An effective similarity measure via genetic algorithm for Content-Based Image Retrieval with extensive features‏‎ (21:38, 24. Jun. 2016)
  36. Animated drawings rendered by genetic programming‏‎ (22:09, 24. Jun. 2016)
  37. Enhancing information retrieval by automatic acquisition of textual relations using genetic programming‏‎ (14:42, 25. Jun. 2016)
  38. Genetic approach to query space exploration‏‎ (14:51, 25. Jun. 2016)
  39. On using genetic algorithms for multimodal relevance optimization in information retrieval‏‎ (14:59, 25. Jun. 2016)
  40. Multiple query evaluation based on an enhanced genetic algorithm‏‎ (15:15, 25. Jun. 2016)
  41. A machine learning approach to inductive query by examples: an experiment using relevance feedback, ID3, genetic algorithms, and simulated annealing‏‎ (16:02, 25. Jun. 2016)
  42. Automatically improving the accuracy of user profile with genetic algorithm‏‎ (16:12, 25. Jun. 2016)
  43. Evolutionary learning of Boolean queries by multiobjective genetic programming‏‎ (21:58, 25. Jun. 2016)
  44. Analyzing the performance of a multiobjective GA-P algorithm for learning fuzzy queries in a machine learning environment‏‎ (22:06, 25. Jun. 2016)
  45. A GA-P algorithm to automatically formulate extended Boolean queries for a fuzzy information retrieval system‏‎ (22:22, 25. Jun. 2016)
  46. A new evolutionary algorithm combining simulated annealing and genetic programming for relevance feedback in fuzzy information retrieval systems‏‎ (22:30, 25. Jun. 2016)
  47. Automatic learning of multiple extended Boolean queries by multiobjective GA-P algorithms‏‎ (22:44, 25. Jun. 2016)
  48. Automatic generation of a matching function by genetic programming for effective information retrieval‏‎ (22:55, 25. Jun. 2016)
  49. Discovery of context-specific ranking functions for effective information retrieval using genetic programming‏‎ (12:59, 26. Jun. 2016)
  50. Investigation of the importance of the genotype–phenotype mapping in information retrieval‏‎ (13:06, 26. Jun. 2016)

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