Search results for "Algorithms" - Rhea

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Page title matches

• Genetic algorithms Old Kiwi
  2 KB (254 words) - 22:51, 10 March 2008
• Graph Algorithms Old Kiwi
  =Graph Algorithms= When we want to implement graph algorithms on computer we can use one the 2 techniques:
  3 KB (557 words) - 17:49, 22 October 2010
• Lecture 25 - Clustering Algorithms Old Kiwi
  == Algorithms for clustering from feature vector ==
  8 KB (1,259 words) - 08:43, 17 January 2013
• Clustering Algorithms Old Kiwi
  == Various Clustering Algorithms == ...oblem, ideal solutions have exponential running time. For this reason, the algorithms presented by this group are sub-optimal, but run in polynomial time. [http:
  3 KB (585 words) - 14:39, 20 April 2008
• Neural Networks using Genetic Algorithms Old Kiwi
  ===Using Genetic Algorithms in Computer Learning:=== Genetic Algorithms (GA) (http://en.wikipedia.org/wiki/Genetic_algorithm) are a method of deter
  2 KB (288 words) - 11:51, 25 April 2008
• Lecture 25 - Clustering Algorithms OldKiwi
  == Algorithms for clustering from feature vector ==
  8 KB (1,299 words) - 11:24, 10 June 2013
• Walther375Spring2014 P=NP and complexity of algorithms
  ...lynomial time. Since then the focus has shifted to efficient approximation algorithms with precise performance guarantees.
  13 KB (2,101 words) - 13:55, 27 April 2014

Page text matches

• CNSIPseminars
  ...signal processing strategies to achieve their excellent performance. These algorithms also incorporate characteristics of the human visual system (HVS), but typi
  5 KB (656 words) - 14:36, 4 May 2011
• Insertion sort
  [[Category:Sorting algorithms]]
  2 KB (269 words) - 13:01, 14 January 2009
• ECE608 (GhafoorSpring2009)
  ===Reviewed Algorithms===
  3 KB (441 words) - 17:45, 22 October 2010
• Merge sort
  [[Category:Sorting algorithms]]
  2 KB (248 words) - 13:05, 14 January 2009
• Heap sort
  [[Category:Sorting algorithms]]
  2 KB (357 words) - 20:51, 20 February 2009
• Rhea's story
  ...ucation research to study these tools, and engineering research to develop algorithms and software to sustain them. You can learn more on the [https://engineerin
  5 KB (740 words) - 11:50, 5 October 2012
• P = NP MA375Fall2008walther
  asymptotically faster algorithms may exist. in order to understand and analyze this question, academic backg
  5 KB (886 words) - 06:38, 21 March 2013
• Ben Franklin's Magic Square MA453Fall2008walther
  [http://mathworld.wolfram.com/MagicSquare.html Magic Square explanation and algorithms]
  265 B (38 words) - 17:39, 29 October 2008
• ECE662:Glossary Old Kiwi
  .... Some algorithms, like k-means, simply partition the feature space. Other algorithms, like single-link agglomeration, create nested partitionings which form a t ....dei.polimi.it/matteucc/Clustering/tutorial_html/ A tutorial on clustering algorithms]
  31 KB (4,832 words) - 18:13, 22 October 2010
• Clustering Old Kiwi
  Some of the widely used algorithms for clustering include: * Survey of Clustering Algorithms, by Rui Xu and Donald Wunsch, IEEE Journal of Neural Networks, Vol 16, May
  8 KB (1,173 words) - 12:41, 26 April 2008
• Homework 2 Old Kiwi
  ...box/ann/ Tool box holding a collection of Artificial Neural Networks (ANN) algorithms implemented for Matlab] : It contains lots of pattern recognition algorithms and gives the description and pesudo code of them.
  5 KB (746 words) - 16:33, 17 April 2008
• Lecture 14 - ANNs, Non-parametric Density Estimation (Parzen Window) Old Kiwi
  ...nearest neighbor algorithm is amongst the simplest of all machine learning algorithms. An object is classified by a majority vote of its neighbors, with the obje ...ally when the size of the training set grows. Many nearest neighbor search algorithms have been proposed over the years; these generally seek to reduce the numbe
  13 KB (2,073 words) - 08:39, 17 January 2013
• Textbooks Old Kiwi
  * A great reference if you are going to be developing pattern recognition algorithms * A great reference if you are going to be using the algorithms
  3 KB (340 words) - 17:58, 6 March 2008
• Bayes Classification: Experiments and Notes Old Kiwi
  ...ollowing. We only have two classes, Class 1 and Class 2. You can test your algorithms for different priori probabilities for Class 1 and Class 2. However if you
  4 KB (735 words) - 22:49, 8 March 2008
• ECE662:ChangeLog Old Kiwi
  * 2008/04/24 -- Added more notes on clustering algorithms * 2008/04/16 -- Created [[Lecture 25 - Clustering Algorithms_Old Kiwi]] (Algorithms for clustering from feature vector: All texts and equations 2-1 ~ 2-15)
  10 KB (1,418 words) - 12:21, 28 April 2008
• What is Pattern Recognition Old Kiwi
  * Most algorithms do not scale well (example given of 2000 faces vs. 2 million faces in an ai * Most algorithms do well on the training data but fail miserably on real data.
  3 KB (436 words) - 08:43, 10 April 2008
• Parametric Estimators Old Kiwi
  ...P equation is generally non-linear, and thus requires the use of iterative algorithms to compute a numerical solution as analytical expressions are not usually a
  6 KB (995 words) - 10:39, 20 May 2013
• Tools Old Kiwi
  ...l uses artificial intelligence techniques like neural networks and genetic algorithms to find an optimal solution to classification problems. This description wa * Efficient Algorithms for K-Means [http://www.cs.umd.edu/~mount/Projects/KMeans]
  2 KB (307 words) - 17:13, 21 April 2008
• "Pattern Classification" by Duda, Hart, and Stork Old Kiwi
  ...on pattern recognition. A great reference if you are going to be using the algorithms
  395 B (51 words) - 23:45, 11 March 2008
• "Introduction to Statistical Pattern Recognition" by K. Fukunaga Old Kiwi
  ...e. A great reference if you are going to be developing pattern recognition algorithms
  917 B (96 words) - 05:06, 25 August 2010