Showing below up to 100 results in range #201 to #300.

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  1. Lecture 9 - Linear Discriminant Functions Old Kiwi‏‎ (32 links)
  2. CE‏‎ (32 links)
  3. Lecture 19 - Nearest Neighbor Error Rates OldKiwi‏‎ (31 links)
  4. Lecture 26 - Statistical Clustering Methods OldKiwi‏‎ (31 links)
  5. Lecture 4 - Bayes Classification Old Kiwi‏‎ (31 links)
  6. Lecture 12 - Support Vector Machine and Quadratic Optimization Problem OldKiwi‏‎ (31 links)
  7. Lecture 27 - Clustering by finding valleys of densities OldKiwi‏‎ (31 links)
  8. Homework 3 ECE301Fall2008mboutin‏‎ (31 links)
  9. Lecture 20 - Density Estimation using Series Expansion and Decision Trees OldKiwi‏‎ (31 links)
  10. Slectures‏‎ (31 links)
  11. Lecture 11 - Fischer's Linear Discriminant again Old Kiwi‏‎ (31 links)
  12. Lecture 15 - Parzen Window Method OldKiwi‏‎ (31 links)
  13. Lecture 22 - Decision Trees and Clustering OldKiwi‏‎ (31 links)
  14. Lecture 6 - Discriminant Functions OldKiwi‏‎ (31 links)
  15. Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate OldKiwi‏‎ (31 links)
  16. 2014 Fall ECE 438 Boutin digital signal processing slectures‏‎ (31 links)
  17. Lecture 23 - Spanning Trees OldKiwi‏‎ (31 links)
  18. HomeworkDiscussionsMA341Spring2010‏‎ (31 links)
  19. Lecture 17 - Nearest Neighbors Clarification Rule and Metrics OldKiwi‏‎ (31 links)
  20. 2015 Fall ECE 438 Boutin‏‎ (31 links)
  21. Lecture 21 - Decision Trees(Continued) Old Kiwi‏‎ (31 links)
  22. Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued) OldKiwi‏‎ (31 links)
  23. Lecture 25 - Clustering Algorithms OldKiwi‏‎ (31 links)
  24. Lecture Schedule ECE301Spring11 Boutin‏‎ (30 links)
  25. Lecture 17 - Nearest Neighbors Clarification Rule and Metrics Old Kiwi‏‎ (30 links)
  26. Lecture 18 - Nearest Neighbors Clarification Rule and Metrics(Continued) Old Kiwi‏‎ (30 links)
  27. Lecture 6 - Discriminant Functions Old Kiwi‏‎ (30 links)
  28. User:Han84‏‎ (30 links)
  29. Lecture 26 - Statistical Clustering Methods Old Kiwi‏‎ (30 links)
  30. Lecture 1 - Introduction Old Kiwi‏‎ (30 links)
  31. Lecture 8 - MLE, BPE and Linear Discriminant Functions Old Kiwi‏‎ (30 links)
  32. Lecture 13 - Kernel function for SVMs and ANNs introduction Old Kiwi‏‎ (30 links)
  33. Lecture 28 - Final lecture Old Kiwi‏‎ (30 links)
  34. Lecture 24 - Clustering and Hierarchical Clustering OldKiwi‏‎ (30 links)
  35. Lecture 8 - MLE, BPE and Linear Discriminant Functions OldKiwi‏‎ (30 links)
  36. Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window) Old Kiwi‏‎ (30 links)
  37. Lecture 2 - Decision Hypersurfaces Old Kiwi‏‎ (30 links)
  38. Lecture 16 - Parzen Window Method and K-nearest Neighbor Density Estimate Old Kiwi‏‎ (29 links)
  39. Lecture 23 - Spanning Trees Old Kiwi‏‎ (29 links)
  40. Lecture 24 - Clustering and Hierarchical Clustering Old Kiwi‏‎ (29 links)
  41. Professional statement assignmentECE400S12‏‎ (29 links)
  42. Lecture 25 - Clustering Algorithms Old Kiwi‏‎ (29 links)
  43. Professional statement students ECE400S12‏‎ (29 links)
  44. Lecture 19 - Nearest Neighbor Error Rates Old Kiwi‏‎ (29 links)
  45. Lecture 7 - MLE and BPE Old Kiwi‏‎ (29 links)
  46. Lecture 12 - Support Vector Machine and Quadratic Optimization Problem Old Kiwi‏‎ (29 links)
  47. Lecture 27 - Clustering by finding valleys of densities Old Kiwi‏‎ (29 links)
  48. Lecture 5 - Discriminant Functions OldKiwi‏‎ (29 links)
  49. MA351‏‎ (29 links)
  50. Lecture28ECE662S12‏‎ (28 links)
  51. Lecture 15 - Parzen Window Method Old Kiwi‏‎ (28 links)
  52. Lecture 22 - Decision Trees and Clustering Old Kiwi‏‎ (28 links)
  53. Lecture29ECE662S12‏‎ (28 links)
  54. Lecture 5 - Discriminant Functions Old Kiwi‏‎ (28 links)
  55. Lecture30ECE662S12‏‎ (28 links)
  56. ECE201‏‎ (28 links)
  57. Lecture 10 - Batch Perceptron and Fisher Linear Discriminant Old Kiwi‏‎ (28 links)
  58. Lecture 20 - Density Estimation using Series Expansion and Decision Trees Old Kiwi‏‎ (28 links)
  59. Lecture7ECE662S12‏‎ (27 links)
  60. Lecture13ECE662S12‏‎ (27 links)
  61. Lecture20ECE662S12‏‎ (27 links)
  62. Lecture8ECE662S12‏‎ (27 links)
  63. Table DT Fourier Transforms‏‎ (27 links)
  64. Lecture14ECE662S12‏‎ (27 links)
  65. Lecture21ECE662S12‏‎ (27 links)
  66. Lecture2ECE662S12‏‎ (27 links)
  67. Lecture9ECE662S12‏‎ (27 links)
  68. Lecture15ECE662S12‏‎ (27 links)
  69. Lecture22ECE662S12‏‎ (27 links)
  70. 2012 Spring ECE 264 Lu‏‎ (27 links)
  71. Lecture16ECE662S12‏‎ (27 links)
  72. Lecture23ECE662S12‏‎ (27 links)
  73. Lecture3ECE662S12‏‎ (27 links)
  74. Lecture17ECE662S12‏‎ (27 links)
  75. Lecture24ECE662S12‏‎ (27 links)
  76. Lecture4ECE662S12‏‎ (27 links)
  77. Lecture10ECE662S12‏‎ (27 links)
  78. Lecture18ECE662S12‏‎ (27 links)
  79. Lecture25ECE662S12‏‎ (27 links)
  80. Lecture5ECE662S12‏‎ (27 links)
  81. Lecture11ECE662S12‏‎ (27 links)
  82. Lecture19ECE662S12‏‎ (27 links)
  83. Lecture26ECE662S12‏‎ (27 links)
  84. Lecture27ECE662S12‏‎ (27 links)
  85. Lecture6ECE662S12‏‎ (27 links)
  86. Lecture12ECE662S12‏‎ (27 links)
  87. Lecture1ECE662S12‏‎ (27 links)
  88. Lecture Schedule ECE438Fall10 Boutin‏‎ (26 links)
  89. User:Jmason‏‎ (26 links)
  90. Homework 4 ECE301Fall2008mboutin‏‎ (25 links)
  91. MA460 (Fall2009Walther)‏‎ (25 links)
  92. User:Akcooper‏‎ (25 links)
  93. Open office hours mboutin‏‎ (25 links)
  94. Peer Legacy ECE301‏‎ (24 links)
  95. SignalDefinitions‏‎ (23 links)
  96. 2010 MA 527 Bell‏‎ (23 links)
  97. ECE637‏‎ (23 links)
  98. ECE 440‏‎ (23 links)
  99. ECE302S13Notes‏‎ (23 links)
  100. LRVC Discussions‏‎ (22 links)

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Alumni Liaison

Recent Math PhD now doing a post-doctorate at UC Riverside.

Kuei-Nuan Lin