Search results for "Algorithms" - Rhea

Create the page "Algorithms" on this wiki! See also the search results found.

• "Introduction to Data Mining" by P-N Tan, M. Steinbach and V. Kumar Old Kiwi
  ...book is a very good reference for classification algorithms and clustering algorithms and analysis. The book's website contains very useful extra material, inclu
  654 B (88 words) - 00:12, 12 March 2008
• Publications Old Kiwi
  ===A paper explaining several neural-network algorithms including perceptron=== ...echnique) are described. The concept underlying these iterative adaptation algorithms is the minimal disturbance principle, which suggests that during training i
  39 KB (5,715 words) - 10:52, 25 April 2008
• Applications of Pattern Recognition Old Kiwi
  2. Machine Learning Algorithms for Surveillance and Event Detection
  6 KB (905 words) - 12:18, 28 April 2008
• Face detection vs Face recognition Old Kiwi
  ...algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multiview face d
  2 KB (384 words) - 18:08, 16 March 2008
• Gradient Descent Old Kiwi
  Gradient descent algorithms are iterative methods for finding the minimum of a function in <math>\Re^n< ...and is itself a function that differs between the various gradient descent algorithms. Lastly, <math>\nabla f(x^{(k)})</math> is the [[gradient_Old Kiwi]] of the
  1 KB (201 words) - 10:46, 24 March 2008
• Perceptron Convergence Theorem Old Kiwi
  ...bpLbO4n0XjrgzhEuOD06Xfmo#PPA261,M1 Learning Kernel Classifiers, Theory and Algorithms By Ralf Herbrich]
  3 KB (446 words) - 06:36, 21 April 2013
• Decision Tree Old Kiwi
  ...are used and a search must be made for optimal combining weights. Pruning algorithms can also be expensive since many candidate sub-trees must be formed and com ...cision trees do not treat well non-rectangular regions. Most decision-tree algorithms only examine a single field at a time. This leads to rectangular classifica
  2 KB (264 words) - 09:29, 10 April 2008
• Graphical Models Old Kiwi
  ...h-theoretic framework has allowed for the development of general inference algorithms, which in many cases provide orders of magnitude speedups over brute-force
  709 B (100 words) - 17:44, 1 April 2008
• Lecture 22 - Decision Trees and Clustering Old Kiwi
  "Algorithms for clustering data," A.K. Jain, R.C. Dibes[http://www.cse.msu.edu/~jain/Cl Clustering algorithms can also be classified as follows:
  6 KB (806 words) - 08:42, 17 January 2013
• Hierarchical clustering Old Kiwi
  When we implement Hierarchical clustering algorithms we use an iterative procedure. Here is an example of how the so-called sing
  987 B (148 words) - 16:01, 6 April 2008
• Mixture of Gaussians Old Kiwi
  ...thod of this kind is the one based on learning a mixture of Gaussians. The algorithms works in this way:
  967 B (155 words) - 16:22, 6 April 2008
• Lecture 23 - Spanning Trees Old Kiwi
  => Same result as "Single linkage algorithms"
  7 KB (1,060 words) - 08:43, 17 January 2013
• Lecture 24 - Clustering and Hierarchical Clustering Old Kiwi
  ==Agglomerate Algorithms for Hierarchical Clustering (from Distances)== [http://www.cs.man.ac.uk/~graham/cs2022/greedy/ Greedy and Minimum Spanning Algorithms]
  8 KB (1,254 words) - 08:43, 17 January 2013
• Minimum Spanning Trees Old Kiwi
  ...trees. A minimum spanning tree can be determined using Prim's or Kruskal's algorithms. Also see Prim's Algorithm and Kruskal's Algorithm.
  628 B (112 words) - 11:46, 11 April 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
• Bayes classification Old Kiwi
  ...e used in practice, it represents an ideal classification rate which other algorithms may attempt to achieve.
  2 KB (399 words) - 14:03, 18 June 2008
• Lecture 26 - Statistical Clustering Methods Old Kiwi
  ...(or agglomerative) approach to clustering. Different from many clustering algorithms, this one uses a so-called "Rissanen criterion" or "minimum description len
  8 KB (1,244 words) - 08:44, 17 January 2013
• Spectral Methods Old Kiwi
  ...effective use of several pattern recognition techniques such as clustering algorithms. Here we review the most popular spectral methods.
  2 KB (238 words) - 10:41, 28 April 2008
• Clustering Sequences 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
  781 B (110 words) - 08:32, 24 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
• ECE662:BoutinSpring08 OldKiwi
  * [[Lecture 25 - Clustering Algorithms_OldKiwi|Lecture 25 - Clustering Algorithms]] * [[Learning algorithms_OldKiwi|Learning algorithms]] (blank in old QE)
  7 KB (875 words) - 07:11, 13 February 2012
• Peer Legacy ECE495VIP
  ...it [[ECE495VIP|ECE495 - VIP]] this semester and was working on improvising algorithms to program on Graphic Processing Units (GPGPU team). Anybody interesting in
  5 KB (879 words) - 04:52, 13 December 2010
• Super Tetris
  ...ent a one-step look-ahead and zero-step look-ahead Tetris algorithm. These algorithms were designed for normal Tetris, but the same ideas could be translated int [[Media:TetrisPresentation.ppt | Presentation over algorithms for Tetris AI]] (Unfortunately the videos do not work)
  813 B (126 words) - 16:48, 14 November 2013
• Lossy versus Lossless Images
  ...as '''''lossless'''''. This means that with the aforementioned compression algorithms, the original signal can be faithfully ''reconstructed exactly, bit-by-bit' ...aq/part1/]). (This would reduce the 30 MB file down to about 15 MB.) These algorithms seek to reduce redundancies in the data by representing repeated data with
  6 KB (914 words) - 12:07, 22 October 2009
• Homework3ECE438JPEG
  ...y zeroes. Once the numbers in the matrix are re-arranged, various encoding algorithms (including Huffman encoding which uses common trends in the DC values to pr
  5 KB (850 words) - 09:00, 23 September 2009
• Student summary spectral analysis 2D signalsb
  ...mes also "Lenna"), is a famous image utilized in standard image processing algorithms and testing. The background behind this image is quite interesting. Here ar
  8 KB (1,397 words) - 11:23, 18 March 2013
• ECE495 GPGPU Fall 09
  *<B>Data Analysis algorithms</B>
  592 B (78 words) - 12:37, 30 November 2009
• Peer Legacy ECE438
  ...hen in lab we would apply them to real digital images in MATLAB by writing algorithms that would modify the images pixel by pixel. Very cool! --[[User:cpfeiffe|
  17 KB (3,004 words) - 08:11, 15 December 2011
• ECE662 topic1 discussions
  ...I'm working with Prof. George Lee on Cognitive Robotics. Machine Learning algorithms have been used for place recognition for mobile robots. We are investigatin
  8 KB (1,359 words) - 04:54, 6 May 2010
• What is Pattern Recognition OldKiwi
  * 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 (462 words) - 10:41, 10 June 2013
• Bayes Rate Fallacy: Bayes Rules under Severe Class Imbalance
  [2] C. Drummond and R. Holte: Severe Class Imbalance: Why Better Algorithms Aren’t the Answer. In: J. Gama et al. (Eds.): ECML 2005, LNAI 3720, pp. 5
  5 KB (694 words) - 12:41, 2 February 2012
• Homework 2 OldKiwi
  ...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 (761 words) - 10:53, 13 April 2010
• Clustering
  ...tin [[Lecture_25_-_Clustering_Algorithms_OldKiwi|Lecture 25 on Clustering Algorithms]] ...tin [[Lecture_25_-_Clustering_Algorithms_OldKiwi|Lecture 25 on Clustering Algorithms]]
  2 KB (275 words) - 10:36, 27 April 2010
• EE662Sp10 HiddenMarkovModel
  ...ities). Because of the specialty of Hidden Markov Models, lots of specific algorithms are developed. In order to solve these problems, the following algorithms are proposed:
  4 KB (710 words) - 18:50, 9 May 2010
• Decision Theory Glossary ECE662Spring2008
  .... 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 (4,787 words) - 18:21, 22 October 2010
• Solving the Cube, Group 4 Style
  After doing initial research on optimized cube solving algorithms and the A* search (courtesy Prof. Kulkarni), we came across [http://kociemb
  2 KB (398 words) - 06:41, 6 December 2010
• ECE301inBME
  **Signal processing and filtering algorithms to create stethoscopes that function in high-noise environments such as hel ...an tissues, as well as individual cells and molecules, using sophisticated algorithms to analyze numerical images. &nbsp;Research also uses non-invasive optical
  17 KB (2,368 words) - 10:53, 6 May 2012
• Hw5 ECE438F11
  ...algorithms to compute a 6 point DFT. Draw a flow diagram for each of your algorithms, and compute the total number of complex operations they would require. Com
  2 KB (384 words) - 03:55, 31 August 2013
• Audio Signal Generating and Processing Project, Previous method
  ::After some research reading online materials about mixing audios, several algorithms are tried, but a clear mix sound is still not founded. An article online me
  6 KB (931 words) - 20:33, 15 November 2011
• Linear programming MA265F11Walther
  Introduction to deterministic optimization modeling and algorithms in operations research. Emphasis on formulation and solution of linear prog
  5 KB (736 words) - 09:14, 11 April 2013
• On East Asia Mathematics
  ...themselves, but the receptions of those magic squares. Instead of devising algorithms for the construction of magic squares, as western mathematicians did, Chine
  6 KB (928 words) - 10:46, 15 December 2011
• Professional statement alex layton ECE400S12
  ...nvolve developing or modifying computer programs. I can implement advanced algorithms, and debug complex software. Additionally, all my experience with micro-con
  5 KB (721 words) - 12:18, 9 February 2012
• Professional statement MichaelKobit ECE400S12
  ...rience in embedded systems, logic design, mobile applications, web design, algorithms, game design, and low level circuit design. The various classes and topics
  2 KB (316 words) - 19:58, 1 February 2012
• Prefessional statement johnjachna ECE400S12
  ...r includes ECE classes such as Advanced C programming, Data Structures and Algorithms, Linear Circuit Analysis, Digital System Design, and Microprocessor Systems
  6 KB (964 words) - 12:19, 9 February 2012
• Professional statement Krishna ECE400S12
  ...that dealt with ASIC Chips and microprocessors. My project was to develop algorithms and prototypes using the most advanced programming languages that would pro
  3 KB (534 words) - 12:22, 9 February 2012
• Upsham Dawra - Professional Statement
  During my education at Purdue, I undertook classes like Data Structures, Algorithms, Microcontrollers, Computer Architecture and Compilers, along with classes ...nd expanded my skill-set a lot over the summer, especially in graphing and algorithms.
  3 KB (550 words) - 12:22, 9 February 2012
• Professional statement YiYue ECE400S12
  .... What I do in this project is mainly translating existing computer vision algorithms into C++, and allowing robots to navigate in an environment with obstacles.
  4 KB (563 words) - 12:21, 9 February 2012
• Bayes Classification: Experiments and Notes OldKiwi
  ...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
  5 KB (772 words) - 11:05, 10 June 2013