• ...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
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  • * 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
  • [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
  • ...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
  • ...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
  • ...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
  • .... 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
  • After doing initial research on optimized cube solving algorithms and the A* search (courtesy Prof. Kulkarni), we came across [http://kociemb
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  • **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.  Research also uses non-invasive optical
    17 KB (2,368 words) - 10:53, 6 May 2012
  • ...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
  • ::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
  • Introduction to deterministic optimization modeling and algorithms in operations research. Emphasis on formulation and solution of linear prog
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  • ...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
  • ...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
  • ...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
  • ...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
  • ...that dealt with ASIC Chips and microprocessors. My project was to develop algorithms and prototypes using the most advanced programming languages that would pro
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  • 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
  • .... 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
  • ...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
  • ...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 (2,098 words) - 11:21, 10 June 2013
  • "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 (837 words) - 11:23, 10 June 2013
  • => Same result as "Single linkage algorithms"
    7 KB (1,091 words) - 11:23, 10 June 2013
  • ==Agglomerate Algorithms for Hierarchical Clustering (from Distances)== [http://www.cs.man.ac.uk/~graham/cs2022/greedy/ Greedy and Minimum Spanning Algorithms]
    9 KB (1,276 words) - 11:24, 10 June 2013
  • == Algorithms for clustering from feature vector ==
    8 KB (1,299 words) - 11:24, 10 June 2013
  • * Can be changed fro new features, bug fixes, better algorithms
    1 KB (232 words) - 05:24, 11 July 2012
  • ...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 (976 words) - 13:25, 8 March 2012
  • ...(or agglomerative) approach to clustering. Different from many clustering algorithms, this one uses a so-called "Rissanen criterion" or "minimum description len
    8 KB (1,214 words) - 11:24, 10 June 2013
  • *None of the above algorithms can guarantee the optimal solution.<br>o This is not surprising since this *Of the above three algorithms, the third one is probably the best heuristic.<br>Topological Ordering
    10 KB (1,828 words) - 07:01, 21 March 2013
  • ...uctures, but the basis is Algorithms. In fact, there is a CS course called Algorithms that is almost identical to this course. When I took this course, our final
    870 B (147 words) - 06:09, 24 April 2012
  • **Question 1: Algorithms
    8 KB (952 words) - 22:00, 1 August 2019
  • ...ndomly access pixels from the LCD, which is necessary for image processing algorithms that perform local operations. This is much appreciated, as the camera's F
    3 KB (533 words) - 15:17, 1 May 2016
  • During a CS251: Data Structure &amp; Algorithms lecture about various sorting algorithms, Professor Aliaga mentioned a sorting algorithm of linear running time - ra It's well known that the comparison sorting algorithms have a theoretical lower bound of <span class="texhtml">''n''log''n''</span
    7 KB (1,030 words) - 11:27, 18 March 2013
  • ...any ways to solve the problem. As long as you have your runtime (including algorithms) and termination condition correct, you should do just fine. The lab is mer
    2 KB (377 words) - 08:10, 9 April 2013
  • * [[Lecture 25 - Clustering Algorithms_OldKiwi|Lecture 25 - Clustering Algorithms]]
    3 KB (425 words) - 09:59, 4 November 2013
  • * 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 (372 words) - 10:39, 10 June 2013
  • ...bpLbO4n0XjrgzhEuOD06Xfmo#PPA261,M1 Learning Kernel Classifiers, Theory and Algorithms By Ralf Herbrich]
    3 KB (445 words) - 06:37, 21 April 2013
  • ...ve to describe two key ingredients: allowable votes, i.e., ballots and the algorithms of collecting votes. In this study, we will study how various voting system
    17 KB (2,510 words) - 18:36, 1 December 2013
  • ...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 (388 words) - 11:43, 11 October 2013
  • ...es are accessible to everyone.<br> <br>Based on mathematics:<br>Public-key algorithms are based on mathematical problems which currently admit no efficient solut ...ions have been secured by the first generation of public key cryptographic algorithms developed in the mid-1970's. Notably, they form the basis for key managemen
    19 KB (3,051 words) - 22:23, 4 December 2013
  • ...ther375Spring2014 P=NP and complexity of algorithms|P=NP and complexity of algorithms]]
    5 KB (724 words) - 11:13, 27 April 2014
  • *Slectures on Clustering Algorithms (supplemental material)
    10 KB (1,450 words) - 20:50, 2 May 2016
  • ...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
  • ...es are required. There are many different types of numerical approximation algorithms in Bayesian inference, such as Approximate Bayesian Computation (ABC),Lapla
    15 KB (2,273 words) - 10:51, 22 January 2015
  • ...m the normal distribution lies at the heart of many probabilistic learning algorithms.
    16 KB (2,400 words) - 23:34, 29 April 2014
  • ...one major topic is classification problem. Linear classifier is a class of algorithms that make the classification decision on a new test data point base on a li
    9 KB (1,540 words) - 10:56, 22 January 2015
  • ...m the normal distribution lies at the heart of many probabilistic learning algorithms. The probability distribution function for the normal distribution is defin
    18 KB (2,852 words) - 10:40, 22 January 2015
  • ...estimation based tests could require much more complicated calculations or algorithms to classify data points. If the data is roughly linearly separable, the oth
    10 KB (1,684 words) - 13:00, 5 May 2014
  • ...estimation based tests could require much more complicated calculations or algorithms to classify data points. If the data is roughly linearly separable, the oth
    10 KB (1,666 words) - 10:56, 22 January 2015
  • *Clustering Algorithms
    8 KB (1,123 words) - 10:38, 22 January 2015

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Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett