Machine Learning - Homework Assignment 2
For the programming exercises you will be asked to hand in Matlab code. ... If you, for some serious (say medical) reason, cannot make the deadline, you need to contact .... Problem 4 - K-Means and Image Segmentation - 25 points ... using an appropriate Matlab function. • Now use the cluster centers you computed to ...
http://www.gris.tu-darmstadt.de/teaching/courses/ss09/ml/asgn2-v1.0.pdf
Salient
Region Detection and Segmentation
The image is over-segmented using a simple K-means algorithm. .... attention and semantic region clustering. Journal of Optical Society of America ...
http://www.cs.utoronto.ca/~strider/publications/AES_ICVS08.pdf
Speaker Recognition
In this project we are using the Mel Frequency Cepstral Coefficients (MFCC) .... The K-means algorithm is a way to cluster the training vectors to get feature vectors. ... The Matlab codes are provided as following: % First run ... www2. imm.dtu.dk/pubdb/views/edoc_download.php/4414/pdf/imm4414.pdf ...
http://speaker-recognition.googlecode.com/files/Finally_version1.pdf
An
Adaptive K-means Clustering
Algorithm for Breast Image Segmentation
learning, k-means clustering is a method of cluster analysis which aims to p artition n observations ... segmentation process using MATLAB 7.3 and P-IV. The results ... http://www. networkofstrength.org/i nformation/bcnews/stats.php. ...
http://www.ijcaonline.org/volume10/number4/pxc3871982.pdf
RERANKING WITH CONTEXTUAL DISSIMILARITY MEASURES FROM
...
We present a novel reranking framework for Content Based Image Retrieval (CBIR) systems based on con- ... Instead of using a classical k-means cluster- ..... field. 2http://lear.inrialpes.fr/people/jegou/data.php ...
http://www.lix.polytechnique.fr/~schwander/preprints/visapp2010.pdf
Consensual clustering for unsupervised feature
selection ...
Moreover these images are numerous (around 100 Gigabytes each day for the SPOT satellite alone) and weakly exploited .... clustering results using k-Means algorithm with random initialisations and random number of clusters? ... Algorithm 2: Pseudo code of LSEC-algorithm ..... The spider for matlab - v1.4, 2004. URL ...
http://jmlr.csail.mit.edu/proceedings/papers/v4/campedel08a/campedel08a.pdf
Multidimensional data analysis
Examples: in image data of handwritten digits, each pixel is a variable, ..... A data matrix of size N × D is presented using K latent variables as a ... In practice we use some ready made software: Matlab, GNU Scientific ..... Pseudo code: Algorithm K-means(data, K). Initialize the cluster means r1,...,rK by ...
http://www.space.fmi.fi/graduateschool/Lectures08/Ella_Datamining.pdf
Clustering the Tagged Web
especially in the highly ambiguous world of image retrieval. This paper addresses one central question: ...... java c programming goto code language. 13 software windows opensource mac freeware osx ... We clustered documents using the K-means and LDA .... Java, PHP, Python, C++, JavaScript, Perl, Lisp, Ruby, and ...
http://www.stanford.edu/~dramage/papers/cluster-wsdm09.pdf
CS229 Project Report: Cracking CAPTCHAs
generator [6], because of the availability of source code ...
http://www.stanford.edu/class/cs229/proj2008/FortuneLuuMcMahon-CrackingCAPTCHAs.pdf
Dimensionality Reduction via Subspace and Submanifold Learning
Feb 17, 2011 ... SOFTWARE AND WEB RESOURCES. DIMENSIONALITY REDUCTION. CODE. Code for various methods (mostly imple- mented in MATLAB, some in C) ... php. ■ Official Web site of the MNIST data ... k-means projective clustering: http://www.mathworks. com/matlab- ... tion using C-band radar imagery,” IEEE Trans. Geos- ...
http://ieeexplore.ieee.org/iel5/79/5714377/05714387.pdf?arnumber=5714387
Structural template formation with discovery of subclasses
K-means clustering algorithm to partition a set of images into several subclasses, ..... each pair of the test image and the center using Algorithm2; ... The high-resolution full 3D results, source codes and scripts for reproducing the ... see http://www.bsl.ece.vt.edu/ReproducibleResearch/SPIE10- Atlas/kmeans.php. ...
ftp://bsl.ece.vt.edu/static/ReproducibleResearch/SPIE10-Atlas/SPIE10-Atlas.pdf
Experiences with Matlab and VRML in Functional
Neuroimaging ...
for anatomical background and a hot image for a masked functional image necessitate the developer to directly con- .... code. In the lyngby toolbox we have such a functionality .... and execution regions using meta-K-means clustering ...
http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/1231/pdf/imm1231.pdf
Model-Based Cluster and Discriminant Analysis
with the mixmod Software
mod (mixmod 1.6) is composed of 40 C++ classes and 20000 lines of code, ... mixmod as a Scilab or Matlab function: the mixmod function can be ..... belongs to the kth cluster (i = m+1,...,n) by using the current value θq−1 ... CEM is a K-means-like algorithm and, unlike EM, it converges in a finite ...
http://hal.archives-ouvertes.fr/docs/00/46/94/77/PDF/Model-based_cluster_and_discriminant_analysis_with_the_MIXMOD_software.pdf
Aggregating local descriptors into a compact image
representation
quires the definition of a codebook of k “visual words” usu- ally obtained by k- means clustering. Each local descriptor .... produce a code of B bits encoding the image representa- .... indexing scheme using a single quality measure: the ap- proximation error. .... 3http://lear.inrialpes.fr/people/jegou/data.php ...
http://lear.inrialpes.fr/pubs/2010/JDSP10/jegou_compactimagerepresentation.pdf
Hamming
embedding and weak geometric consistency for large scale
...
as kd-tree [1] or sparse coding with an overcomplete basis set [6] allow for ...
http://lear.inrialpes.fr/pubs/2008/JDS08/jegou_hewgc08.pdf
VLFeat
http://www.cs.ubc.ca/~mariusm/index.php/FLANN/FLANN ..... Components. • No dependencies. • C implementation. 57. C API. MATLAB. (mex). Command line. Custom code ... kmeans.h supports the following cluster initialization algorithms: ... Image classification using random forests and ferns. In Proc. ICCV, 2007. ...
http://www.ros.org/workshops/eccv/2010/Vedaldi.pdf
Curriculum
Vitae
Responsible for the implementation of experimental projects using technologies ... Took over development and maintainance of the code base. ... Matlab: Neural Network toolbox, Matlab Toolbox for Dimensionality Reduction, ... ing) K-Means clustering, hierarchical agglomerative clustering, Spectral clustering, ...
http://badlogicgames.com/downloads/Mario%20Zechner%20-%20CV.pdf
Yael: Getting started
Contact: matthijs.douze@inria.fr herve.jegou@inria.fr ... As a counterpart to the access to the source code and rights to copy, modify and redistribute .... using the prefix yael/. For instance, including the primitive for vectors is performed by .... yael kmeans. Although there is a kmeans function in matlab, ...
https://gforge.inria.fr/frs/download.php/27548/yael_getting_started_v119.pdf
Clustering dictionary definitions
using Amazon Mechanical Turk
We also implemented K-means clus- tering using normalized word-overlap (Kulkarni et ..... http://semeval2.fbk.eu/semeval2.php. Snow, R., O'Connor, B., Jurafsky, ... Figure 3: Example of a global-view HIT for the word “code” (not all of ...
http://www.cs.cmu.edu/~gparent/papers/Parent-Eskenazi-paper-AMT-wkshp-NAACL2010-approved-final.pdf
mESAdb: microRNA Expression and Sequence Analysis Database
elements are coded in PHP whereas more significant stat- istical analyses are performed in R (Figure 2). The web ... a larger result like an image, the R program saves it under .... of their expressions in both data sets using k-means clus- ... cluster number between 2 and 10 clusters (i.e. 2 k 10) if desired. ...
http://nar.oxfordjournals.org/content/39/suppl_1/D170.full-text-lowres.pdf
Integrating Web
Content Clustering into Web Log Association Rule
...
forums.devshed.com /showthread.php?p-2119#post211. .... The k-means clustering algorithm requires a distance measure which ... pseudo code is given in Algorithm 1. A centroid is calculated as the arithmetic mean and mass-center of ..... Miao, Y., Keselj, V., Milios, E.: Comparing document clustering using n- grams, ...
http://web.cs.dal.ca/~vlado/papers/ai05.pdf
Searching
the World's Herbaria: A System for Visual Identification
...
performance criteria and offer to include in our deployed system code for any .... the boundary of the image, which can be noisy. We initialize EM using K- means clustering with k = 2. We initialize K-means by setting the background cluster to .... LeafView was built with C#, MatLab, and Piccolo (Bederson, et al . ...
http://www.ist.temple.edu/~hbling/publication/efg_eccv08.pdf
Chapter X. Exploring Stem Cell Gene Expression Signatures
using ...
clustering methods are available, commonly used approaches, like K-Means and .... AutoSOME is coded in Java, in principle, it can be run using any ... installed on your computer (download from http://cytoscape.org/download_list.php ). ..... bar, changing the image dimensions using the 'image settings' window ( see ...
http://jimcooperlab.mcdb.ucsb.edu/autosome/files/CBESCchapter.pdf
Locality sensitive hashing: a comparison of hash function types
...
been obtained on these images using the affine co-variant fea- tures extractor from Mikolajczyk and Schmid ... 1http://lear.inrialpes.fr/people/jegou/data.php .... to use the popular k-means clustering algorithm. In that case, ..... lattice quantizers and codes. IEEE Trans. on Information Theory 28 (2),. 227–232 . ...
http://www.irisa.fr/texmex/people/jegou/papers/lshanalysis_preprint.pdf
Alex Chen,
Meiching Fong, Zhong Hu
Aug 25, 2006 ... Now, converting the hyperspectral image data by using the weights above,. V1 = [ r • original data] ... MATLAB code was found at Clustering with MATLAB. ... clustering, such as k-means and Fourier analysis. ..... <Hhttp://en.wikipedia. org/w/index.php?title=Covariance&oldid=71200135H>. ...
http://www.math.ucla.edu/~achen/hyperspectral2006.pdf
Goggle
(or Gist on the Google Phone): A Content-Based
Image ...
On the server side, Goggle relies on Apache [5], PHP. [7] and Perl [14] as the glue that ... code to the correct HTML page to be sent back. In its current incarnation, Goggle is ... then cluster these descriptors using K-means to cre- ...
http://ilab.usc.edu/~kai/projects/cs546-Spring2009-Google.pdf
Ehsaneddin Asgari
Pill Identification, I worked on pill segmentation using K-means and ... Developing an application that produces optimized hardware description code of a processing ... Web/DB Technologies: HTML, CSS, Javascript, PHP, MYSQL, Ajax, Symfony ... Implementing encoding and decoding of image steganography using MATLAB, ...
http://ehsaneddin.com/files/cv.pdf
Data
Clustering for Autonomic Application
Replication
requests still have to travel a long distance on the Internet to contact the .... The code is written using a dynamic Web page technology such as PHP and is replicated to each of the edge servers. It is executed ..... To solve the problem, we defined a revised K-Means clustering which takes the cluster centroids ...
http://www.globule.org/publi/DCAAR_master.pdf
Searching the
World's Herbaria: A System for Visual Identification
...
performance criteria and offer to include in our deployed system code for any .... boundary of the image, which can be noisy. We initialize EM using K-means clustering with k = 2. We initialize K-means by setting the background cluster .... LeafView was built with C#, MatLab, and Piccolo (Bederson, et al. [4]). ...
http://www.cs.berkeley.edu/~ravir/efg.pdf
Just
Relax and Come Clustering! A Convexification of
k-Means ...
Feb 1, 2011 ... k-means clustering is a popular approach to clustering. ... and an important tool in e.g., image processing and biology. ..... Below, we show how to solve the problem in MATLAB using ... A code-package is also available for download at http:// ..... yalmip.php. S. Nowozin and G. Bakir. ...
http://www.control.isy.liu.se/research/reports/2011/2992.pdf
A Data
Clustering Algorithm Based On Single Hidden Markov
Model
has a wide appeal in many domains, including: data mining, image classification, speech ... For instance, to cluster the dataset using kmeans, fuzzy cmeans ..... A simple pseudo code for distributing loglikelihood values into bins is given below. ..... http://www.ce.yildiz.edu.tr/mygetfile.php?id=269 ...
http://www.proceedings2006.imcsit.org/pliks/101.pdf
A Configware Approach for the Implementation of a LVQ Neural
Network
trol code of the LVQ is described by a finite state machine and parametrically programmed in VHDL. The final neural net- ... in image and signal processing or in dynamical control sys- .... the well-known k-means clustering algorithm that is usual .... 334µs, using a 25 MHz clock. As the number of points to be ...
http://www.mauriciokugler.com/publications/ijcir2007_mauricio_kugler.pdf
Paper Title (use style: paper title)
k-means clustering [19]. The color segmentation is only efficient, if we can get rid of the distorting effects of ... image flows. Recent works [13] on adaptive image sensing using ... These channels code different low-level visual. Registered sign image .... ”color spaces”, url = http://www.couleur.org/index. php? ...
http://hal.elte.hu/~lanna/Publications/BionEyeglAnAudioGuide9.pdf
An Eye Fixation
Database for Saliency Detection in Images
ing image understanding, using active image segmentation as an example. An ... The images 1 and Matlab code to visualize the image-wise and user-wise fixation ... http://csea.phhp.ufl.edu/media/. IAPS-image IDs are provided, instead. ..... rt = 2rmean, where rmean is the mean cluster radius from the centroid, works ...
http://mmas.comp.nus.edu.sg/63140030.pdf
Smart
Social Software for Mobile Cross-Media Communities
clustering in S3 for images and videos (based on the extracted key frames). ... clusters, using a modified k-means clustering algorithm. We apply Ward's ..... AJAX Engine using those JavaScript codes. With the AJAX engine, .... http://www. directionsmag.com/printer.php?article id=2120 (last access: Oc- ...
http://www.springerlink.com/index/b8w007364285881v.pdf
Using Web 2.0 for Scientific Applications and
Scientific ...
gateway development; c.f. [9] ), PHP, Python, and Ruby on Rails are popular in the Web 2.0 world. ..... perform clustering analysis for discovering groups and communities. ... parameter in using K-Means or Deterministic Annealing method. ... Selected data is processed using parallel signal image processing codes. ...
http://www.cs.indiana.edu/~jychoi/papers/Web20SKG2007Concurrency_FinalFinal.pdf
Package
'Rcmdr'
Jan 3, 2011 ... You can add R code to the package, e.g., for creating additional dialogs, by placing files with ..... Véase http://knuth.uca.es/R/doku.php?id= equipotraduccion .... KMeans. K-Means Clustering Using Multiple Random Seeds ...
http://cran.r-project.org/web/packages/Rcmdr/Rcmdr.pdf
CIMET Course Catalogue S1
Consult claroline for exam timetable: https://ead-sciences.univ-st-etienne.fr/ index.php .... Course name: Image Processing and Analysis. Course code: CIMET IPA ... Programming assignments will use MATLAB and the MATLAB Image Processing Toolbox, .... Data clustering: k-means clustering, Self-Organizing map. ...
http://www.master-erasmusmundus-color.eu/content/download/30794/367111/file/CIMET%20Course%20Catalogue%20S1.pdf
Anomaly
Detection using Similarity Metrics
Then, the new word is added to the dictionary and the code for it ..... K-Mean Clustering [21] is a popular clustering algorithm. Given k clusters .... detects anomalies in a surveillance images using the NCD similarity metric. At ..... / auth/auth.php?smf_root_path=http://www.ricksk8.xpg.com.br/echo2.txt? ...
http://www.cs.tau.ac.il/thesis/thesis/yahalom.pdf
An Efficient Key Point Quantization Algorithm for Large Scale
...
a code-book that is constructed by a clustering algorithm, ... quantizes each key point into a binary vector using a col- .... we present a two-stage framework for large-scale image re- trieval. ..... 1http://www.cs.ubc.ca/~ mariusm/index.php/FLANN/ .... first performs hierarchical k-means clustering over all the ...
http://www.cse.msu.edu/~tongwei/papers/Lietal_BallQuant_ACMMM09.pdf
Image
Clustering Based on a Shared Nearest Neighbors Approach
for ...
It is not rare to find only. 3 http://tagmaps.research.yahoo.com/worldexplorer. php ..... figures (date, zip code, type of camera, etc.), the tags “photo”, .... clustering process can rapidly become a real issue. K-Means (or .... experiment our approach for tagged collection using three image ...
http://publi-etis.ensea.fr/2008/MHP08/haugeard08civr.pdf
COMPUTATIONAL
METHODS IN STATISTICS I STA 4102/5106: Fall 2009
Class Website: http://stat.fsu.edu/~anuj/classes/5106-f-09.php. Grader: Mr. Muffasir Badshah ... Students will also obtain practice in using Matlab. ... clustering, k-means clustering. Fisher's discriminant analysis (FDA), PCA versus ... If a problem involves writing a program, submit a printout of the code ...
http://stat.fsu.edu/~anuj/pdf/classes/CompStatI09/syllabus.pdf
Data-Mining of a Large Virtual Community: Relationships Between
...
and then analyzed and clustered into 8 clusters using an unsupervised bisecting divisive clustering ... picture of the Virtual Community Users. 2. Analysis and clustering of the Users DB. ... the data-base only the numeric code of the item ..... K-means algorithm. For the sake of self-consistency of this ...
http://www.siam.org/proceedings/datamining/2003/dm03_34SavaresiS.pdf
EVALUATION OF CLUSTERING TECHNIQUES IN DATA MINING
TOOLS
data mining tools, using the following categories and associated evaluation criteria: ... k-means clustering, self-organizing maps and kohonen networks techniques. SAS Text Miner ... Color coding and navigation aids guide users to the desired information. .... www.bloor-research.com/research_library.php?pid= 397 ...
http://www.iacis.org/iis/2004_iis/PDFfiles/QiuDavisIkem.pdf
A survey of Web
clustering engines
is performed (using traditional K-means or AHC techniques), cluster labels are created ..... Code. Grouper (STC) 1998 single words, phrases ... diei.unipg.it/ view/tool.php?id=wow. with IBM). Descriptions of research systems are ordered ...
http://search.fub.it/claudio/pdf/CSUR09.pdf
Review of Cluster Analysis Software
(using a standard installer), or compiled from the source code. .... Several tutorials can be found at http://sal.agecon.uiuc.edu/stuff_main.php. ..... e Implemented as K-means clustering. f The scan statistic implemented in CrimeStat ...
http://www.schs.state.nc.us/NAACCR-GIS/pdfs/clustersoftwareFinal.pdf
Clustering and Sequential Pattern Mining of Online
Collaborative ...
Jul 22, 2009 ... Clustering Ticketing Behavior Using k-Means šk ¼ 3Ž and 8 Attributes ..... source code file, or wiki page, Author is the name of the ...
http://kulino.ninehub.com/file.php/1/Jurnal_dan_Artikel_Ilmiah/Knowledge_Management/03_Clustering_and_Sequential_Pattern_Mining_of_Online_Collaborative_Learning_Data.pdf
OoOJava: An Out-of-Order Approach to Parallel Programming
icant speedups for a ray tracer and a K-Means cluster benchmark. ... Section 2 presents the programming model using an ex- .... code does not need to dynamically track the source of c. .... outer loop compute one row of the scene image. We used OoOJava to target the parallelism in this loop by ...
http://www.usenix.org/event/hotpar10/tech/full_papers/Jenista.pdf
Astronomical
Data Analysis with Python - Lecture 8
cluster: hierarchical clustering, vector quantization, K-means fftpack: Discrete Fourier Transform algorithms ... misc: miscellaneous utilities (e.g. image reading/writing) ... if the code in question is in octave, idl, matlab, mathematica and ... SWIG is used with different types of languages such as Perl, PHP, ...
http://ncra.tifr.res.in/~yogesh/python_course_2010/lect8.pdf
CDbw: Clustering results' validity checking based
on density and ...
results using the algorithm that achieves to find at least one partitioning of the .... DBSCAN while its clustering into four clusters defined by K-Means, CURE and the CLUTO .... source code for DBSCAN and CURE algorithms respectively. ...
http://www.db-net.aueb.gr/index.php/corporate/content/download/439/2032/version/3/file/PATREC_revised.pdf
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