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Yasuo Matsuyama

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186: 66: 25: 581:(more precisely, the log-EM algorithm). The merit of the speedup by the alpha-EM over the log-EM is due to the ability to utilize the past information. Such a usage of the messages from the past brought about the alpha-HMM estimation algorithm (alpha-hidden Markov model estimation algorithm) that is a generalized and faster version of the 312: 599:
algorithms; the harmonic competition and the multiple descent cost competition. The former realizes the multiple-object optimization. The latter admits deformable centroids. Both algorithms generalize the batch-mode vector quantization (simply called,
577:: The use of the alpha-logarithmic likelihood ratio in learning cycles generated the alpha-EM algorithm (alpha-Expectation maximization algorithm). Because the alpha-logarithm includes the usual logarithm, the alpha-EM algorithm contains the 532:
Since 1996, he was a Professor of Waseda University, Department of Computer Science and Engineering. From 2011 to 2013, he was the director of the Media Network Center of Waseda University. At the
563:. Studies on the competitive learning (vector quantization) for his Ph.D. at Stanford University brought about his succeeding works on machine learning contributions. Studies on stochastic 1177:
Matsuyama, Yasuo; Noguchi, Keita; Hatakeyama, Takashi; Ochiai, Nimiko; Hori, Tatsuro (2010-08-28). "Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids".
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Upon the completion of the doctoral work at Waseda University, he was dispatched to the United States as a Japan-U.S. exchange fellow by the joint program of the
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for his Dr. Engineering at Waseda University set off applications of biological signals to the machine learning. Thus, his works can be grouped reflecting these
479:. There, he contributed to the spiking neurons with stochastic pulse-frequency modulation. Advisors were Jun’ichi Takagi, Kageo, Akizuki, and Katsuhiko Shirai. 828:
Matsuyama, Yasuo; Shirai, Katsuhiko; Akizuki, Kageo (1974-09-01). "On some properties of stochastic information processes in neurons and neuron populations".
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Horie, Teruki; Shikano, Akihiro; Iwase, Hiromichi; Matsuyama, Yasuo (2015-11-09). "Learning Algorithms and Frame Signatures for Video Similarity Ranking".
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Matsuyama, Y. (March 2003). "The alpha;-EM algorithm: surrogate likelihood maximization using alpha;-logarithmic information measures".
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Matsuyama, Y. (January 1998). "Multiple descent cost competition: restorable self-organization and multimedia information processing".
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Waseda University: Jun'ichi Takagi, Kageo Akizuki, and Kastuhiko Shirai for Dr. Engineering Stanford University: Robert M. Gray for PhD
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Matsuyama, Y.; Gray, R. (April 1982). "Voice Coding and Tree Encoding Speech Compression Systems Based Upon Inverse Filter Matching".
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On the class of the vector quantization and competitive learning, he contributed to generate and identify the hierarchy of VQs.
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Matsuyama, Yasuo; Shozawa, Michitaro; Yokote, Ryota (2015). "Brain signal׳s low-frequency fits the continuous authentication".
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Matsuyama is a Professor Emeritus and an Honorary Researcher of the Research Institute of Science and Engineering of
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The above theories and applications work as contributions to IoCT (Internet of Collaborative Things) and IoXT (
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Katsumata, Naoto; Matsuyama, Yasuo (2005). "Database retrieval for similar images using ICA and PCA bases".
218: 116: 529:, Japan (the final position was a professor and chairperson of the Information and System Sciences Major). 1388: 1237:
Gray, R.; Buzo, A.; Gray, A.; Matsuyama, Y. (August 1980). "Distortion measures for speech processing".
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VQ ⇔ {batch mode VQ, and learning VQ} ⊂ {harmonic competition} ⊂ {multiple descent cost competition}.
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Matsuyama, Y. (May 1996). "Harmonic competition: a self-organizing multiple criteria optimization".
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of March 11, 2011, he was in charge of the safety inquiry of 65,000 students, staffs and faculties.
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2004: Best Paper Award for Application Oriented Research from Asia Pacific Neural Network Assembly
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Decomposition of DNA sequences by the independent component analysis (US Patent: US 8,244,474 B2).
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Matsuyama, Y. (July 2017). "The Alpha-HMM Estimation Algorithm: Prior Cycle Guides Fast Paths".
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Matsuyama received his bachelor’s, master’s and doctoral degrees in electrical engineering from
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in 1969, 1971, and 1974 respectively. The dissertation title for the Doctor of Engineering is
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Best Paper Award from the Institute of Electronics, Information and Communication Engineers
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Bipedal humanoid operations via invasive and noninvasive brain signals as well as gestures.
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Fellow Award from the Institute of Electronics, Information and Communication Engineers
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Matsuyama, Y. (1976-09-01). "A note on stochastic modeling of shunting inhibition".
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Self-organization and emotional feature injection based on the competitive learning.
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Matsuyama, Yasuo (1978-08). "Process Distortion Measures and Signal Processing",
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Since 2017, Matsuyama is a Professor Emeritus and an Honorary Researcher of the
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Matsuyama, Y.; Gray, R. (January 1981). "Universal tree encoding for speech".
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Matsuyama, Yasuo (1974-03). "Studies on Stochastic Modeling of neurons",
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Waseda University (Dr. Engineering, 1974) Stanford University (PhD, 1978)
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2006: LSI Intellectual Property Design Award from the LSI IP Committee
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Best Textbook Award by the Japanese Society of Information Processing
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of his led to the applications to huma-aware information processing.
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Research Institute of Science and Engineering of Waseda University
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http://www.f.waseda.jp/yasuo2/MatsuyamaStanfordDissertation.pdf
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Outstanding Paper Award of IEEE Transactions on Neural Networks
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from the article and its talk page, especially if potentially
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IEEE Transactions on Acoustics, Speech, and Signal Processing
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http://www.f.waseda.jp/yasuo2/MatsuyamaWasedaDissertation.pdf
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From 1977 to 1078, Matsuyama was a research assistant at the
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for contributions to learning algorithms with competition.
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Yasuo Matsuyama, Professor Emeritus of Waseda University
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Fellow of the Japanese Society of Information Processing
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A hierarchy from the alpha-EM to the vector quantization
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1989: Telecommunication System Promotion Award of the
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studies at Stanford, Matsuyama developed generalized
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Information Systems Laboratory of Stanford University
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Engineering Applications of Artificial Intelligence
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Continuous authentication of uses by brain signals.
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Dote Memorial Best Paper Award of CSTST 2008 8: 689:http://www.asc-events.org/ASC17/Workshop.php 559:and human-aware information processing have 438:http://www.f.waseda.jp/yasuo2/en/index.html 53:Learn how and when to remove these messages 484:Japan Society for the Promotion of Science 406:Studies on Stochastic Modeling of Neurons 310: 299: 97:about living persons that is unsourced or 785:Telecommunications Advancement Foundation 753:Telecommunications Advancement Foundation 477:Studies on Stochastic Modeling of Neurons 288:Learn how and when to remove this message 270:Learn how and when to remove this message 168:Learn how and when to remove this message 408:(Dr. Engineering from Waseda University) 1274:IEEE Transactions on Information Theory 935:IEEE Transactions on Information Theory 796: 575:Statistical machine learning algorithms 525:From 1979 to 1996, he was a faculty of 970:IEEE Transactions on Signal Processing 589:Competitive learning on empirical data 395:Waseda University, Stanford University 206:Please improve this article by adding 702:e-Teaching Award of Waseda University 545:Waseda Electrical Engineering Society 7: 1076:IEEE Transactions on Neural Networks 1069: 1067: 1065: 1063: 1026:IEEE Transactions on Neural Networks 1019: 1017: 1015: 928: 926: 492:Institute of International Education 1399:Academic staff of Waseda University 1309:IEEE Transactions on Communications 316:At the 2017 HPC Connection Workshop 534:2011 Tōhoku earthquake and tsunami 14: 34:This article has multiple issues. 184: 64: 23: 42:or discuss these issues on the 1131:10.1016/j.engappai.2005.01.002 413:(PhD from Stanford University) 1: 1146:Neural Information Processing 208:secondary or tertiary sources 1394:Machine learning researchers 1224:10.1016/j.neucom.2014.08.084 1187:10.1007/978-3-642-15314-3_10 1154:10.1007/978-3-319-26532-2_17 606:learning vector quantization 502:with spectral clustering or 75:biography of a living person 102:must be removed immediately 1415: 1251:10.1109/tassp.1980.1163421 1321:10.1109/tcom.1982.1095512 679:of speech signals by the 429: 370: 309: 1286:10.1109/tit.1981.1056306 990:10.1109/tsp.2017.2692724 467:Early life and education 947:10.1109/tit.2002.808105 881:Biological Cybernetics 772:Fellow Award from IEEE 454:information processing 386:information processing 195:relies excessively on 89:Please help by adding 555:Matsuyama’s works on 681:competitive learning 624:competitive learning 597:competitive learning 591:: Starting from the 95:Contentious material 982:2017ITSP...65.3446M 628:vector quantization 602:vector quantization 583:hidden Markov model 504:vector quantization 893:10.1007/BF00364116 842:10.1007/BF00274585 764:2013-01-17 at the 593:speech compression 527:Ibaraki University 506:. His advisor was 366:Alpha-EM algorithm 16:Computer scientist 1179:Brain Informatics 1088:10.1109/72.655033 1038:10.1109/72.501723 976:(13): 3446–3461. 695:Awards and honors 488:Fulbright Program 473:Waseda University 461:Waseda University 443: 442: 372:Scientific career 298: 297: 290: 280: 279: 272: 254: 219:"Yasuo Matsuyama" 178: 177: 170: 152: 117:"Yasuo Matsuyama" 78:needs additional 57: 1406: 1347: 1346: 1339: 1333: 1332: 1304: 1298: 1297: 1269: 1263: 1262: 1234: 1228: 1227: 1207: 1201: 1200: 1174: 1168: 1167: 1141: 1135: 1134: 1114: 1108: 1107: 1071: 1058: 1057: 1021: 1010: 1009: 965: 959: 958: 930: 921: 920: 876: 870: 869: 825: 819: 813: 807: 801: 720:IEEE Life Fellow 677:Data compression 655:dual foundations 569:dual foundations 561:dual foundations 557:machine learning 452:and human-aware 450:machine learning 421:Doctoral advisor 384:and human-aware 382:Machine learning 335: 331: 329: 314: 300: 293: 286: 275: 268: 264: 261: 255: 253: 212: 188: 180: 173: 166: 162: 159: 153: 151: 110: 91:reliable sources 68: 67: 60: 49: 27: 26: 19: 1414: 1413: 1409: 1408: 1407: 1405: 1404: 1403: 1374: 1373: 1365:Yasuo Matsuyama 1356: 1351: 1350: 1341: 1340: 1336: 1306: 1305: 1301: 1271: 1270: 1266: 1236: 1235: 1231: 1209: 1208: 1204: 1197: 1176: 1175: 1171: 1164: 1143: 1142: 1138: 1116: 1115: 1111: 1073: 1072: 1061: 1023: 1022: 1013: 967: 966: 962: 932: 931: 924: 878: 877: 873: 827: 826: 822: 814: 810: 802: 798: 793: 766:Wayback Machine 697: 565:spiking neurons 553: 516: 508:Robert. M. Gray 500:speech encoding 469: 446:Yasuo Matsuyama 410: 355:Alma mater 342: 336: 333: 327: 325: 317: 305: 304:Yasuo Matsuyama 294: 283: 282: 281: 276: 265: 259: 256: 213: 211: 205: 201:primary sources 189: 174: 163: 157: 154: 111: 109: 88: 69: 65: 28: 24: 17: 12: 11: 5: 1412: 1410: 1402: 1401: 1396: 1391: 1386: 1376: 1375: 1372: 1371: 1362: 1355: 1354:External links 1352: 1349: 1348: 1334: 1315:(4): 711–720. 1299: 1264: 1245:(4): 367–376. 1229: 1212:Neurocomputing 1202: 1195: 1169: 1162: 1136: 1125:(6): 705–717. 1109: 1082:(1): 106–122. 1059: 1032:(3): 652–668. 1011: 960: 941:(3): 692–706. 922: 887:(3): 139–145. 871: 836:(3): 127–145. 820: 808: 795: 794: 792: 789: 788: 787: 781: 775: 768: 755: 749: 742: 739: 736: 722: 716: 710: 704: 696: 693: 685: 684: 674: 671: 668: 665: 662: 648: 647: 640: 639: 552: 549: 515: 512: 468: 465: 441: 440: 435: 431: 430: 427: 426: 423: 417: 416: 403: 397: 396: 393: 389: 388: 379: 375: 374: 368: 367: 364: 363:Known for 360: 359: 356: 352: 351: 348: 344: 343: 337: 332:March 23, 1947 323: 319: 318: 315: 307: 306: 303: 296: 295: 278: 277: 192: 190: 183: 176: 175: 99:poorly sourced 72: 70: 63: 58: 32: 31: 29: 22: 15: 13: 10: 9: 6: 4: 3: 2: 1411: 1400: 1397: 1395: 1392: 1390: 1389:Living people 1387: 1385: 1382: 1381: 1379: 1370: 1366: 1363: 1361: 1358: 1357: 1353: 1344: 1338: 1335: 1330: 1326: 1322: 1318: 1314: 1310: 1303: 1300: 1295: 1291: 1287: 1283: 1279: 1275: 1268: 1265: 1260: 1256: 1252: 1248: 1244: 1240: 1233: 1230: 1225: 1221: 1217: 1213: 1206: 1203: 1198: 1196:9783642153136 1192: 1188: 1184: 1180: 1173: 1170: 1165: 1163:9783319265315 1159: 1155: 1151: 1147: 1140: 1137: 1132: 1128: 1124: 1120: 1113: 1110: 1105: 1101: 1097: 1093: 1089: 1085: 1081: 1077: 1070: 1068: 1066: 1064: 1060: 1055: 1051: 1047: 1043: 1039: 1035: 1031: 1027: 1020: 1018: 1016: 1012: 1007: 1003: 999: 995: 991: 987: 983: 979: 975: 971: 964: 961: 956: 952: 948: 944: 940: 936: 929: 927: 923: 918: 914: 910: 906: 902: 898: 894: 890: 886: 882: 875: 872: 867: 863: 859: 855: 851: 847: 843: 839: 835: 831: 824: 821: 818: 812: 809: 806: 800: 797: 790: 786: 782: 780: 776: 773: 769: 767: 763: 760: 756: 754: 750: 747: 743: 740: 737: 735: 731: 727: 723: 721: 717: 715: 711: 709: 705: 703: 699: 698: 694: 692: 690: 682: 678: 675: 672: 669: 666: 663: 660: 659: 658: 656: 652: 645: 644: 643: 637: 633: 629: 625: 621: 617: 616: 615: 613: 609: 607: 603: 598: 594: 590: 586: 584: 580: 576: 572: 570: 566: 562: 558: 550: 548: 546: 542: 537: 535: 530: 528: 523: 521: 513: 511: 509: 505: 501: 497: 493: 489: 485: 480: 478: 474: 466: 464: 462: 457: 455: 451: 447: 439: 436: 432: 428: 424: 422: 418: 415: 412: 407: 404: 402: 398: 394: 390: 387: 383: 380: 376: 373: 369: 365: 361: 357: 353: 349: 345: 340: 334:(age 77) 324: 320: 313: 308: 301: 292: 289: 274: 271: 263: 252: 249: 245: 242: 238: 235: 231: 228: 224: 221: –  220: 216: 215:Find sources: 209: 203: 202: 198: 193:This article 191: 187: 182: 181: 172: 169: 161: 150: 147: 143: 140: 136: 133: 129: 126: 122: 119: –  118: 114: 113:Find sources: 107: 103: 100: 96: 92: 86: 85: 81: 76: 71: 62: 61: 56: 54: 47: 46: 41: 40: 35: 30: 21: 20: 1337: 1312: 1308: 1302: 1280:(1): 31–40. 1277: 1273: 1267: 1242: 1238: 1232: 1215: 1211: 1205: 1178: 1172: 1145: 1139: 1122: 1118: 1112: 1079: 1075: 1029: 1025: 973: 969: 963: 938: 934: 884: 880: 874: 833: 829: 823: 811: 799: 686: 654: 650: 649: 641: 611: 610: 588: 587: 579:EM-algorithm 574: 573: 568: 560: 554: 538: 531: 524: 517: 495: 481: 476: 470: 458: 445: 444: 414: 409: 405: 392:Institutions 371: 284: 266: 257: 247: 240: 233: 226: 214: 194: 164: 155: 145: 138: 131: 124: 112: 101: 84:verification 77: 50: 43: 37: 36:Please help 33: 1384:1947 births 1218:: 137–143. 618:Alpha-EM ⊃ 347:Nationality 1378:Categories 830:Kybernetik 791:References 636:clustering 490:, and the 328:1947-03-23 230:newspapers 197:references 158:March 2012 128:newspapers 39:improve it 1329:0090-6778 1294:0018-9448 1259:0096-3518 1096:1045-9227 1046:1045-9227 998:1053-587X 955:0018-9448 901:0340-1200 850:0023-5946 260:June 2023 80:citations 45:talk page 1104:18252433 1054:18263462 1006:34883770 866:31189652 762:Archived 622:⊃ basic 350:Japanese 339:Yokohama 106:libelous 978:Bibcode 917:5211589 858:4853437 434:Website 341:, Japan 244:scholar 142:scholar 1327:  1292:  1257:  1193:  1160:  1102:  1094:  1052:  1044:  1004:  996:  953:  915:  909:999955 907:  899:  864:  856:  848:  777:1992: 770:1998: 757:2001: 744:2002: 724:2008: 718:2013: 712:2014: 706:2015: 700:2016: 653:: The 620:log-EM 514:Career 401:Thesis 378:Fields 246:  239:  232:  225:  217:  144:  137:  130:  123:  115:  1002:S2CID 913:S2CID 862:S2CID 728:from 634:; 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