Welcome to the UCR Time Series Classification/Clustering Page

This data resource was funded by an NSF Career Award 0237918, from 2003 to 2008, and continues to be funded through NSF awards 0803410 and 0808770. Partial funding was also made available by a gift from ISCA technologies

This webpage has been created as a public service to the data mining/machine learning community, to encourage reproducible research for time series classification and clustering. 

Note that the data here is useful for testing classification / clustering, and the accuracy of indexing techniques. However the datasets are too small to make claims about the efficiency of indexing. For this, email Dr. Keogh requesting a free CD-rom of larger datasets.  If you want datasets to test anomaly detection algorithms, many such datasets are here. A comparison of the results below with classic machine learning algorithms is here, thanks to Tony Bagnall and to Weka for this.
 

Name First paper or data creator Number of classes Size of training set Size of testing set Time series Length  1-NN Euclidean Distance

1-NN Best Warping Window DTW (r)

Note that r is the percentage of time series length

 1-NN DTW, no Warping Window
Synthetic Control

 Pham 

6 300 train 300 test 60

0.12

 0.017 (6)  0.007
Gun-Point  Ratanamahatana  2  50  150  150  0.087  0.087 (0)  0.093
CBF    3  30  900  128  0.148  0.004 (11)  0.003
Face (all) Xi  14  560  1,690  131  0.286  0.192 (3)  0.192
OSU Leaf Gandhi   6  200  242  427  0.483  0.384 (7)  0.409
Swedish Leaf Soderkvist  15  500  625  128  0.213  0.157 (2) 0.210
50Words  Rath  50  450  455  270  0.369  0.242 (6)  0.310
Trace Roverso   4  100  100  275  0.24  0.01 (3)  0.0
Two Patterns  Geurts  4  1,000  4,000  128  0.09  0.0015 (4)  0.0
Wafer  Olszewski  2  1,000  6,174  152  0.005  0.005 (1)  0.020
Face (four)  Ratanamahatana  4  24  88  350  0.216  0.114 (2)  0.170
Lightning-2

 Eads

 2  60  61  637  0.246  0.131 (6)  0.131
Lightning-7  Eads  7  70  73  319  0.425  0.288 (5)  0.274
ECG Olszewski 2 100 100 96 0.12 0.12 (0) 0.23
Adiac

Jalba

37 390 391 176 0.389 0.391 (3) 0.396
Yoga Xi 2 300 3000 426 0.170 0.155 (2) 0.164
Fish (readme) Lee 7 175 175 463 0.217 0.160(4) 0.167
Plane readme 7 105 105 144 0.038 0.0(5) 0
Car readme 4 60 60 577 0.267 0.233(1) 0.267
Beef
Tony Bagnall  30 30  470  0.467
0.467(0)
0.5
Coffee
Tony Bagnall 2
28
28
286
0.25
0.179(3)
0.179
OliveOil
Tony Bagnall 4
30
30
570
0.133
0.167(1)
0.133
CinC_ECG_torso   4 40 1380 1639 0.103 0.07(1) 0.349
ChlorineConcentration Lei Li & C. Faloutsos 3 467 3840 166 0.35 0.35(0) 0.352
DiatomSizeReduction rbg-web2.rbge.org.uk/ADIAC/ 4 16 306 345 0.065 0.065(0) 0.033
ECGFiveDays physionet.org & E. Keogh 2 23 861 136 0.203 0.203(0) 0.232
FacesUCR E. Keogh 14 200 2050 131 0.231 0.088(12) 0.0951
Haptics   5 155 308 1092 0.63 0.588(2) 0.623
InlineSkate Fabian Morchen 7 100 550 1882 0.658 0.613(14) 0.616
ItalyPowerDemand JJ van Wijk 2 67 1029 24 0.045 0.045(0) 0.05
MALLAT   8 55 2345 1024 0.086 0.086(0) 0.066
MedicalImages   10 381 760 99 0.316 0.253(20) 0.263
MoteStrain   2 20 1252 84 0.121 0.134(1) 0.165
SonyAIBORobot SurfaceII (D. Vail & M. Veloso) & E. Keogh 2 27 953 65 0.141 0.141(0) 0.169
SonyAIBORobot Surface (D. Vail & M. Veloso) & E. Keogh 2 20 601 70 0.305 0.305(0) 0.275
StarLightCurves Pavlos Protopapas 3 1000 8236 1024 0.151 0.095(16) 0.093
Symbols E. Keogh & J. Brady 6 25 995 398 0.1 0.062(8) 0.05
TwoLeadECG physionet.org & E. Keogh 2 23 1139 82 0.253 0.132(5) 0.096
WordsSynonyms E. Keogh 25 267 638 270 0.382 0.252(8) 0.351
Cricket_X M. H. Ko, G. West, S. Venkatesh, and M. Kuma. 12 390 390 300 0.426 0.236(7) 0.223
Cricket_Y 12 390 390 300 0.356 0.197(17) 0.208
Cricket_Z 12 390 390 300 0.38 0.18(7) 0.208
uWaveGestureLibrary_X Rice Efficient Computing Group, Rice University 8 896 3582 315 0.261 0.227(4) 0.273
uWaveGestureLibrary_Y 8
896 3582 315 0.338 0.301(4) 0.366
uWaveGestureLibrary_Z 8 896 3582 315 0.35 0.322(6) 0.342
Non-Invasive Fetal ECG Thorax1 Bing Hu and Eamonn Keogh 42 1800 1965 750 0.171 0.185(1) 0.209
Non-Invasive Fetal ECG Thorax2 Bing Hu and Eamonn Keogh 42 1800 1965 750 0.120 0.129(1) 0.135

How to get the datasets:

The Synthetic Control datasets are available above, and the code to reproduce the 1-NN Euclidean Distance result is available below. For the rest of the data, read on.

In order to get the password to the data1 and  data2 please carefully read the points below.

 

After reading the above, cut out the text to either A or B below, sign it with your full name, and email it to Dr. Keogh. If you are a grad student/post-doc, you must discuss this with your adviser first and CC him/her when requesting the password. 

 A) I have read the points above, and agree to all of them. I have CCed my academic advisor. Please send me the password.

 B) I have read the points above, but I do not agree to all of them. In particular, I do NOT agree with... (please enumerate). Nevertheless, I want the data.  Please send me the password.

 

 

 

Code:

If you want to compare a new distance measure with the results above, all you need to do is to change one line of code in the Classification_Algorithm function! p;

Note that this code is optimized for simplicity, not speed! Please do not report timing results using this code. Euclidean Distance can be speeded up using branch and boundLB_Keogh.

function UCR_time_series_test %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% (C) Eamonn Keogh %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
TRAIN = load('synthetic_control_TRAIN'); % Only these two lines need to be changed to test a different dataset. %
TEST  = load('synthetic_control_TEST' ); % Only these two lines need to be changed to test a different dataset. %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%


TRAIN_class_labels = TRAIN(:,1);     % Pull out the class labels.
TRAIN(:,1) = [];                     % Remove class labels from training set.
TEST_class_labels = TEST(:,1);       % Pull out the class labels.
TEST(:,1) = [];                      % Remove class labels from testing set.

correct = 0; % Initialize the number we got correct

for i = 1 : length(TEST_class_labels) % Loop over every instance in the test set
      classify_this_object = TEST(i,:);
   this_objects_actual_class = TEST_class_labels(i);
   predicted_class = Classification_Algorithm(TRAIN,TRAIN_class_labels, classify_this_object);
   if predicted_class == this_objects_actual_class
       correct = correct + 1;
   end;
   disp([int2str(i), ' out of ', int2str(length(TEST_class_labels)), ' done']) % Report progress
end;

%%%%%%%%%%%%%%%%% Create Report %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
disp(['The dataset you tested has ', int2str(length(unique(TRAIN_class_labels))), ' classes'])
disp(['The training set is of size ', int2str(size(TRAIN,1)),', and the test set is of size ',int2str(size(TEST,1)),'.'])
disp(['The time series are of length ', int2str(size(TRAIN,2))])
disp(['The error rate was ',num2str((length(TEST_class_labels)-correct )/length(TEST_class_labels))])
%%%%%%%%%%%%%%%%% End Report %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Here is a sample classification algorithm, it is the simple (yet very competitive) one-nearest
% neighbor using the Euclidean distance.
% If you are advocating a new distance measure you just need to change the line marked "Euclidean distance"
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function predicted_class = Classification_Algorithm(TRAIN,TRAIN_class_labels,unknown_object)
best_so_far = inf;
 for i = 1 : length(TRAIN_class_labels)
     compare_to_this_object = TRAIN(i,:);
     distance = sqrt(sum((compare_to_this_object - unknown_object).^2)); % Euclidean distance

        if distance < best_so_far
          predicted_class = TRAIN_class_labels(i);
     best_so_far = distance;
    end
end;

>> UCR_time_series_test

1 out of 300 done
2 out of 300 done
...
298 out of 300 done
299 out of 300 done
300 out of 300 done
The dataset you tested has 6 classes
The training set is of size 300, and the test set is of size 300.
The time series are of length 60
The error rate was 0.12

 


Notes:

  1. This approach, where we find the best width of the Sakoe-Chiba Band by a search over the training set is a special case of Ratanamahatana-Keogh Band classification where the threshold is the length of the time series. See Ratanamahatana, C. A. and Keogh. E. (2004). Making Time-series Classification More Accurate Using Learned Constraints and see Ratanamahatana, C. A. andnd Keogh. E. (2004). Everything you know about Dynamic Time Warping is Wrong.
  2. D.T. Pham and< A.B. Chan. (1998). Control Chart Pattern Recognition using a New Type of Self Organizing Neural Network.
  3. A.C. Jalba, M.H.F. Wilkinson, J.B.T.M. Roerdink, M.M. Bayer andnd S. Juggins. Automatic Diatom Identification using Contour Analysis by Morphological Curvature Scale Spaces.
  4. D. Eads, D. Hill, S. Davis, S. Perkins, J. Ma, R. Porter, and J. Theiler
  5. Robert T. Olszewski. Generalized Feature Extraction for Structural Pattern Recognition in Time-Series Data. PhD thesis, Carnegie Mellon University, Pittsburgh, PA, 2001.
  6. Geurts, P. (2002). Contributions to decision tree induction: bias/variance tradeoff and time series classification. PhD thesis, Department of Electrical Engineering, University of Liege, Belgium.
  7. Oskar J. O. Soderkvist. Computer Vision Classification of Leaves from Swedish Trees, Master thesis, Linkoping University, Sweden, 2001.
  8. Ashit Gandhi. Content-Based Image Retrieval: Plant Species Identification. Master thesis, Oregon State University, September, 2002.
  9. Rath, T. & Manmatha, R. (2003). Word Image matching using dynamic time warping. CVPR, Vol. II, pp.521-527.
  10. Roverso, D. (2000). Multivariate temporal classification by windowed wavelet decomposition and recurrent neural networks. In 3rd ANS International Topical Meeting on Nuclear Plant Instrumentation, Control and Human-Machine Interface, 2000.
  11. Li Wei, Eamonn J. Keogh: Semi-supervised time series classification. KDD 2006: 748-753
  12. Cherry picking, literally meaning harvesting cherries, is used metaphorically to accuse someone of pointing at individual cases which seem to confirm his or her position, while ignoring a significant portion of related cases that may contradict it.
  13. Salzberg S. On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery 1997; 1:317--327
  14. Keogh, E. &  Kasetty, S. (2002). On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration. In the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. July 23 - 26, 2002. Edmonton, Alberta, Canada. pp 102-111.
  15. D.J. Lee, R. Schoenberger, D. Shiozawa, X. Xu, and P. Zhan, Contour Matching for a Fish Recognition and Migration Monitoring System. SPIE Optics East, Two and Three-Dimensional Vision Systems for Inspection, Control, and Metrology II, vol. 5606-05, p. 37-48, Philadelphia, PA, USA, October 25-28, 2004.
  16. The fish in question are mostly close to horizontal, facing left as they swam passed the camera, however a a rotation invariantLB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures. VLDB 2006.
  17. N. Thakoor and J. Gao, Occlusion resistant shape classifier based on warped optimal path matching, International Transactions on Communication and Signal Processing, vol. 9, no. 1, 2006.
  18. http://timemachine.iic.harvard.edu/

 

People that have Downloaded the Data:

  1. Jiawei Han & Manish Gupta

  2. Shiyuan Liu, Li Lv.

  3. Thiago Santos Quirino, Mei-Ling Shyu University of Miami.

  4. Pierre-Franqois Marteau,

  5. Cosmin Bocaniala, Lancaster University.

  6. Yueguo Chen,Anthony K.H. Tung, Beng Chin Ooi, National University of Singapore.

  7. Vernon Rego, Vernon Rego. Purdue University.

  8. Mislav Malenica, Tomislav Smuc

  9. Man Hon WONG, ZHOU Mi, The Chinese University of Hong Kong.

  10. Guillaume Bouchard Xerox Research Centre Europe.

  11. Hoa Vo and David Joslin Seattle University.

  12. Carlotta Orsenigo , University degli Studi di Milano.

  13. Dr. Paolo Ciaccia

  14. Xiaoqing Weng, Jiaotong University.

  15. Longin Jan Latecki and Qiang Wang, Temple University.

  16. Tony Bagnall

  17. Michail Vlachos, IBM.

  18. Bernard Hugueney

  19. Sourav Mukherjee

  20. Marcos M. Campos (Oracle)

  21. Ludmila I. Kuncheva

  22. Edward Omiecinski and Jun Li

  23. Victor Eruhimov, Intel

  24. Rob Jasper

  25. Andre Coelho

  26. Gernot Herbst

  27. Vit Niennattrakul

  28. Nozomi Matsuda

  29. Flavio Miguel Varejao and Idilio Drago

  30. HAORIANTO COKROWIJOYO TJIOE

  31. Molnar Miklos

  32. Steinn Gudmundsson and Thomas Runarsson

  33. Niall Adams and Sai Wing Man

  34. Isabel Maria Marques da Silva, Maria Eduarda da Rocha Pinto Augusto da Silva and Joaquim Fernando Pinto da Costa

  35. Panagiotis Papapetrou and George Kollios

  36. Huang Tan

  37. Sergio Guadarrama

  38. Alicia Troncoso Lora

  39. Pyry Avist

  40. Peng-Yi Lai

  41. Yong Fu

  42. Soheil Bahrampour

  43. Long Yao and Meng Bo

  44. Robert Moskovitch and Yuval Shahar

  45. Abdellali Kelil

  46. Puspadevi Kuppusamy

  47. Qun Dai and Songcan Chen

  48. Lisa Gralewski

  49. Maria Teresinha Arns Steiner and Rosangela Villwock

  50. Amir Ahmad and Galvin Brown

  51. Abhijit Jayant Kulkarni

  52. Xingquan (Hill) Zhu

  53. Amol Deshpande and Qiang Qiu

  54. Vercellis Carlo and Gianni Alberti

  55. Pamela Nerina Llop

  56. Tobias Scheffer

  57. Jochen Fischer

  58. Mao Ye and Yingying Zhu

  59. Cintia Lera

  60. George Runger and Rohit Das

  61. Omar U. Florez and Seungjin Lim

  62. Ruy Luiz Milidiu and Pedro Teixeira

  63. Mykola Galushka and Dave Patterson

  64. Rahul Sinha

  65. Minh Hoai Nguyen and Fernando de la Torre

  66. Eric Eaton

  67. NGUYEN Van Hanh

  68. Lucas F. Rosada

  69. Nicky Van Thuyne

  70. Skopal Tomas and Michal Vajbar

  71. Carlo Piccardi and Martina Maggio

  72. Muhammad Aamir Khan

  73. Larry Deschaine

  74. Janosa Andras

  75. Andrew Starkey

  76. Karthik Marudhachalam and Ansaf Salleb-Aouissi

  77. Rayner Alfred and Samry Mohd Shamrie Sainin

  78. Evins lio and Oumsis Oumsis

  79. Hanjing, Su

  80. Marco Cuturi

  81. Wang Zhimin

  82. Miao Zeng and Yubao Liu

  83. Rene Vidal and Rizwan Chaudhry

  84. Susan Cheng and Min Ding

  85. Amit Ganatra and Dhaval Bhoi

  86. Iinstry Liang and Qin Lv

  87. Eirik Benum Reksten

  88. Lucas Gallindo Martins Soares

  89. Sungyoung Lee and La The Vinh

  90. Huidong (Warren) Jin

  91. Santiago Velasco

  92. Jairo Cugliari

  93. Quazi Abidur Rahman

  94. Hungyu Henry Lin and James Davis

  95. Azuraliza Abu Baka and Almahdi Mohammed Almahdi

  96. Benjamin Bustos and Victor Sepulveda

  97. Krisztian Buza

  98. Young Xin

  99. Shen Wang and Haimonti Dutta

  100. Victor Garcia-Portilla

  101. Samir Al-Stouhi

  102. Guo Fei

  103. Teodor Costachioiu

  104. Stephen Pollard

  105. Eser Kandogan

  106. lida rashidi

  107. Takashi Washio and Satoshi Hara

  108. Meizhu Liu and Baba C. Vemuri

  109. Jose Principe and Sohan Seth

  110. Ramanuja Simha and Rahul Tripath

  111. Rodolphe JENATTON and Francis Bach

  112. Siladitya Dey and Ambuj Singh

  113. Mahsa Orang and Nematollaah SHIRI V.

  114. Saket Saurabh

  115. Wu Wush

  116. Deepti Dohare

  117. Subhajit Dutta.

  118. Evgeny Pyatkov

  119. Ion George TODORAN

  120. Qin Zou

  121. K.S.SUBHASHINI

  122. Feng Gu, Julie Greensmith

  123. Pedro Felzenszwalb

  124. Onur Seref

  125. Alessia Albanese

  126. Seniha Esen Yuksel and Paul Gader

  127. Alexandros Iosifidis

  128. Rana Hussein and Neamat Farouk El-Gayar

  129. Matteo Danieletto

  130. Ying Zhang

  131. Saeid Rashidi

  132. Xiaobo Wu and S Chen

  133. Sun Lei and Yu-Jiu Yang

  134. Belen Martin Barragan

  135. Mustafa Ahmed and Hua-Liang Wei

  136. KHALIL BRAHMIA

  137. Maria Luisa Sapino and Rosaria Rossini

  138. Peiman Barnaghi and Azuraliza Abu Bakar

  139. Hammoud Aljoumaa and Dirk Soeffker

  140. Haris Gavranovic

  141. Matthias Mouton

  142. Mohammad Reza Daliri

  143. FABIO STELLA

  144. Rohit J. Kate

  145. Ruoqian Liu, Yi Lu Murphey

  146. jennifer bavani krishnan kehoe and Rahul Singh

  147. George Runger and Mustafa Baydogan

  148. Mohamed Ghalwash and ZORAN OBRADOVIC

  149. Jieyue Li

  150. Josif Grabocka

  151. Marco Cristani

  152. Tomas Olsson

  153. Tianwei Liu

  154. Cexus Jean-Christophe

  155. Antonello Rizzi and Antonello Rizzi

  156. Zhai Ting Ting

  157. Ming Zhang

  158. Shanghai Jiao Tong and Zhang Zhongneng

  159. Zhang Zhang and Dacheng Tao

  160. Trevor Tian

  161. Ta Minh Thuy

  162. Yin Zhou and Kenneth Barner

  163. Suzanne Tamang and Simon Parsons

  164. carlotta orsenigo and carlo vercellis

  165. Bahaeddin Eravci and Hakan Ferhatosmanoglu

  166. Haobo Jiang

  167. Bingyi Kang

  168. Jing Zhang

  169. Jon Froehlich and Yi-Chun Ko

  170. Matthias Klusch and Josenildo Silva

  171. Rinki Pakshwar

  172. Nikita Mishra and Somesh Kumar

  173. Mike Jones

  174. Deák Szilárd  Nicola Rebagliati

  175. Ira Assent and Søren Chrestensen

  176. Marcela Svarc

  177. Bankó Zoltán

  178. yasuko matsubara and Yasushi Sakurai

  179. Liu, Yueming and Su, Jianzhong

  180. hongxiong ye and QIAN-LI MA

  181. Huseyin Kaya

  182. Hezi Halpert and Mark Last

  183. Paolo Missier and Tudor Miu

  184. Jiandong Wang and Peng-Cheng ZOU

  185. Shahriar Shariat Talkhoonche and Vladimir Pavlovic

  186. Hideo Bannai

  187. Gerard Medion and Dian Gong

  188. Shengfa Miao and Arno Knobbe

  189. Penugonda Ravikumar

  190. Nabil Alshurafa and Majid Sarrafzadeh

  191. Vladislav Miškovic

  192. David Providakes and Jason Wang

  193. Wei Ding and Yang Mu

  194. Meng-Jung Shih and Shou-de Lin

  195. OSman Gunay

  196. Lu Min and Xiaoru Yuan

  197. Hiba Bhamroukhi

  198. Laurence Chu

  199. Puneet Singh

  200. Joaquim Vinicius C Assuncao

  201. B Kalyan Kumar and debarun kar

  202. Jim Austin and Alexander Fargus

  203. Jundong Li and Osmar R. Zaiane

  204. Bilel Ben ali

  205. Oya Celiktutan, bulent sankur and Cem Sübakan

  206. Michael Pettigrew

  207. Katarzyna Kaczmarek and Olgierd Hryniewicz

  208. Jun ha Park

  209. Daniele Codecasa and Fabio Antonio Stella

  210. Anqi Wu and Raghu Raghavendra

  211. Nur Zuria Haryani and Abdul Razak

  212. Hamdan Ana Arribas Gil

  213. Zhe Bao and Junpeng Bao

  214. Alexio Kotsifakos and Vassilis Athitsos

  215. Vincent S. Tseng

  216. Ryan Kleck and Gu Quanquan

  217. Gavin Smith

  218. Usue Mori, Jose A. Lozano, Alexander Mendiburu

  219. Mohammed Hasan Al-Weshah

  220. Sarah Brockhaus and Sonja Greven

  221. Fenghuan Li

  222. Wang Yu

  223. Mayank Mohta and Adit Madan

  224. Srinivasulu Reddy and Naga sundaram

  225. Chiatung Mao and Jia-Dong MAO

  226. Maciej Luczak

  227. Zhiguang Wang and Tim Oates

  228. Lukas Pfahler and marco stolpe

  229. Rickey Agarwal

  230. Yada Zhu and Jingrui He

  231. Thanhvinh Vo and Duong Tuan Anh

  232. Chris Carbone

  233. Xiaohui Huang

  234. Nicolas Ragot

  235. Tanmoy Mondal

  236. Guillem Rigaill

  237. Fatemeh Kaveh-Yazdy and mohammad reza zare

  238. Azer Kerimov

  239. Hanan Shteingart

  240. Xin Qi

  241. S. Mohanavalli

  242. Emanuele Ruffaldi and Leonard Johard

  243. Tomasz Pander

  244. Pierre Allain and Thomas Corpetti

  245. Changcheng Xiang

  246. Wojciech Mioduszewski and Jurek Blaszczynski

  247. Zhang Daokun

  248. Xiangzeng Kong

  249. Amparo Alonso Betanzos

  250. Olivia Maoy and Yixin Chen

  251. Carlo GAETAN and Paolo Girardi

  252. Farzad Noorian

  253. Jing Yang

  254. Komang Sidhi Artha
     

  1. ndre Rodrigo Sanches and Nina Sumiko Tomita Hirata

  2. Claudio Piciarelli and Gian Luca Foresti

  3. Wei T. Yue 

  4. Michael Botsch and Josef A. Nossek

  5. Bingyu Sun

  6. Sun, Fu-Shing

  7. Babak Amiri

  8. Xing ChunXiao and Du Xutao, Tsinghua University

  9. Elloumi Samir , Sondess Bentekaya

  10. Li Shijin

  11. Erik Learned-Miller, Marwan A. Mattar

  12. Chiranjib Bhattacharya,Karthik K

  13. Nicandro Cruz Ramirez

  14. Jiankui Guo Fudan University

  15. Bin Z Zhang IBM

  16. Yi-Dong Shen and Zhiyong Shen

  17. Georgios Evangelidis, Leonidas Karamitopoulos

  18. Hendrik Purwins

  19. Jignesh M. Patel and Michael Morse

  20. Gert Van Dijck and Marc Van Hulle

  21. Chao Hui Lee and Vincent Tseng

  22. Linh Tran (Boeing)

  23. Hugo Alonso Vilares Monteiro and Joaquim Fernando Pinto da Costa

  24. David Minnen

  25. Tsuyoshi Mikami

  26. Qiang Yang and Sinno Pan

  27. Paolo Tormene

  28. Hui Ding and Peter Scheuermann

  29. Ronaldo Cristiano Prati

  30. Christian Gruber and Bernhard Sick

  31. Silvia Chiappa

  32. Ankur Jain

  33. Maria Cristina Ferreira de Oliveira and Aretha Barbosa Alencar

  34. Febri Andriani

  35. Myeong-Seon Gi

  36. Pengtao jia

  37. Farid Seifi.

  38. Clodoaldo Aparecido de Moraes Lima

  39. Konstantinos Blekas

  40. Inderjit Dhillon and HYUK CHO

  41. Aida Valls

  42. Narayanan Chatapuram Krishnan and Sethuraman Panchanathan

  43. Stephan Gunnemann and Thomas Seidl

  44. Thirumaran Ekambaram and M. Narasimha Murty

  45. Christine Preisach and Lars Schmidt-Thieme

  46. Dino Isa and Rajprasad Kumar

  47. Feibao Zhuo

  48. Frans van den Bergh

  49. Kfir Glik

  50. Xiao Yu

  51. Yingying Zhu

  52. Rosanna Verde and Antonio Balzanella

  53. Paul Baggenstoss

  54. Koichi ASAKURA and Wei Fan

  55. Lucia Sacchi and Iyad Batal

  56. Morne Neser

  57. Luca Chiaravalloti

  58. vikram deshmukh

  59. Harri M.T. Saarikoski

  60. Caio Nogara Andreatta and Neusa Grando

  61. Ying Xie

  62. Ulf Grobekathofer

  63. Christophe Genolini

  64. Celine Robardet

  65. Musa Chemisto

  66. Wangmeng Zuo

  67. Paolo Remagnino

  68. Soumi Ray and Tim Oates

  69. Pierre Ganarski and Francois Petitjean

  70. Joydeep Ghosh and John Tourish

  71. Alireza-Xaker

  72. Wilfgang nejdl and ERNESTO DIAZ-AVILES

  73. Romain Tavenard and Laurent Amsaleg

  74. Hahn-Ming Lee, Christos Faloutsos,Hsing-Kuoh Pao, Ching-Hao (Eric) Mao

  75. Woong-Kee Loh

  76. bikesh singh

  77. Marco Grimaldi, Cesare Furlanello and Giuseppe Jurman

  78. Chonghui Guo

  79. Saeid Rashidi

  80. Yanchang Zhang

  81. S R Kannan

  82. FRANCISCO JAVIER CUBEROS GARCIA-BAQUERO

  83. Dr. SOTIRIOS P. CHATZIS

  84. Ming Luo and Igor G. Zurbenko

  85. Yuya Sakamoto

  86. Yosi Keller

  87. David Corney

  88. Alexander Gray and Nishant Mehta

  89. Tomoyuki Hiroyasu and Takuma Nishii

  90. Blaz Strle and Martin Mozina

  91. Yasin Bakis

  92. Mrinal Mandal and Cheng Lu

  93. Hendrik Blockeel and Kurt Driessens

  94. Jonas Haustad and Yongluan Zhou

  95. Julien Rabin

  96. Oscar Gerardo Sanchez Siordia and Isaac Martin de Diego

  97. Scott Deeann Chen

  98. Lixia Wu

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  100. RANGEENA T V radhakrishnan

  101. Zhou Zhou

  102. Troy Raeder

  103. Amit Thombre

  104. Nhut Ta Hoang

  105. Oisin Mac Aodha

  106. Ali Farahpoor

  107. Xingwang Zhao

  108. Wu Gang

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  117. Jeff Patti

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  119. Mojtaba Najafi, Dr. Kangavari

  120. Philippe ESLING

  121. Zoe Falomir Llansola

  122. Xiaoxu He

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  124. Doina Precup and Jordan Frank

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  126. GUSTAVO CACERES CASTELLANOS

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  128. Wang Jialin

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  158. Subutai Ahmad

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  175. Huiping Cao and Zhe Xie

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  177. M. en C. Jorge Ochoa Somuano

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  179. Paul Viola (Yes, as in Viola- Jones)

  180. JYH-CHARN (STEVE) LIU and Hao Wang

  181. TSUJIMOTO Takaaki and Prof. Uehara

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  184. Alexis BONDU

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  198. BARRE Anthony and RIU Delphine

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  243. Webber Chen and Dan Stashuk

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  245. Seung-Kyu Lee

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  2. Daniel Alejandro Garcia Lopez

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  4. Yi-Dong Shen  and Zhiyong Shen

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  6. Remi Gaudin nicolas nicoloyannis

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  9. Qi He , Dr. Kuiyu Chang, Dr. Ee-Peng Lim

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  28. Kay Robbins and Dragana Veljkovic

  29. Daniel Pena, Regina Kaiser, Ana Laura Badagiani

  30. Daniel Graves and Witold Pedrycz

  31. Anne Denton

  32. Julia Hunter and Martin Colley

  33. Lucia Sacchi

  34. Bernhard Seeger, Michael Grau.

  35. John Maindonald

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  38. Daniel Smith

  39. Abdul Razak, Khairuddin Omar

  40. Elwin (Yong) lee

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  42. Rudolf Kruse and Christian Moewes

  43. Pekka Siirtola

  44. Michael Berthold

  45. David Bong and James Tan

  46. Zhengzheng (Crystal) Xing and Jian Pei

  47. Leticia Arco Garcia and Rafael Bello

  48. Nuno Constantino Castro and Paulo Azeved

  49. Ng Kam Swee

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  51. Jong Myoung Ko

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  54. Ville Hautamaki

  55. Peter Sunehag

  56. Richard Clements

  57. Hichem Frigui and Walid MISSAOUI

  58. KASHIMA Toru

  59. Tang Ke and Guojie Song

  60. Jinfu Fan

  61. Ruchira Guha

  62. Fan Zhou and Wu Yue

  63. Chen Duansheng

  64. Cheng wencong

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  66. Fedor Zhdanov and Vladimir Vovk

  67. WU Quan-Yuan

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  69. Keith Noah Snavely

  70. Hilario Navarro Veguillas and Jesus Bouso

  71. Myong K. Jeong

  72. Luca Gastaldi

  73. Dileep George

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  151. Omid Geramifard and Xu Jianxin

  152. Ng Wee Keong and NGUYEN HAI LONG

  153. Li Tao

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  155. Neelanjana Dutta, Sriram Chellappa, Donald Wunsch II

  156. Dominique GAY

  157. Mai Thai Son and Christian Böhm

  158. Ioannis Kaloskampis and Dave Marshall

  159. MYAT SU YIN

  160. Aiping Zhou

  161. Houtao Deng and George Runger

  162. Tianyu Li and Dr. Dong

  163. May D Wang and James Cheng

  164. Thomas Rueckstiess and Patrick van der Smagt

  165. Rebecca Willett

  166. krystal taylor

  167. Pengfei Zhu

  168. Bohdan Kozarzewski

  169. Quangang Li

  170. Sun Xiangzhi

  171. Yutao Fan

  172. Dimitri Mavris, Megan A Halsey, Curtis Iwata

  173. Wang Wei

  174. MªIsabel Borrajo García

  175. Dennis Shasha and Lefteris Soulas

  176. Andrew Cohen

  177. Weng-Keen Wong and Xinze Guan

  178. Nagesh, Karthik

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  180. Antonio Penta

  181. Katherine Anderson and Castle, Joseph P

  182. Bressan, Stephane

  183. Michael Böhlen and Mourad Khayati

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  186. Eduardo Gerlein and Martin McGinnity

  187. Dr.Ing. MAURICIO OROZCO-ALZATE

  188. Kevin Shi and Layne Lori

  189. Sharon Goldwater and HAIDER Adnan

  190. Youqiang Sun

  191. Koki Nakatani and Kumiko Tanaka-Ishii

  192. Uttam Kumar Sarkar

  193. Aalaa Mojahed and Beatriz De La Iglesia

  194. Prof. L. Zhang

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  196. Jimin Wang

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  256. WEN GUO

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  267. juan colonna

  268. Elias Egho

  269. QUANG LE and Chung Pham

  270. Jitesh Khandelwal

  271. Karima Dyussekeneva