PICA framework for performance analysis of pattern recognition systems and its application in broadcast news segmentation

被引：0
|
作者：
Wang, Xiangdong [2 ]
Li, Meiyin [2 ]
Lin, Shouxun [1 ]
Qian, Yueliang [1 ]
Liu, Qun [1 ]
机构：
[1] Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
[2] Grad Univ Chinese Acad Sci, Beijing 100085, Peoples R China
来源：
NEW TRENDS IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2007年 / 4570卷
关键词：
performance analysis; PICA; PIFA; pattern recognition; speech recognition; broadcast news segmentation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the performance influencing class analysis (PICA) framework is proposed for performance analysis of pattern recognition systems dealing with data with great variety and diversity. Through the PICA procedure, the population of data is divided into subsets on which the system achieves different performances by means of statistical methods. On basis of the division, performance assessment and analysis are conducted to estimate the system performance on the whole data population. The PICA framework can predict true performance in real application and facilitate comparison of different systems without the same test set. The PICA framework is applied to the analysis of a broadcast news segmentation system. The procedure is presented and experimental results were given, which verified the effectiveness of PICA.
引用
收藏
页码：925 / +
页数：2
相关论文
共 50 条
  • [21] Scopira: A pattern recognition application framework for biomedical datasets
    Vivanco, RA
    Demko, A
    Pizzi, NJ
    ICMLA 2005: FOURTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS, 2005, : 165 - 170
  • [22] Image segmentation and pattern recognition for road marking analysis
    Rebut, J
    Bensrhair, A
    Toulminet, G
    Proceedings of the IEEE-ISIE 2004, Vols 1 and 2, 2004, : 727 - 732
  • [23] Semantic modeling for dialog systems in a pattern recognition framework
    Wang, KS
    ASRU 2001: IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING, CONFERENCE PROCEEDINGS, 2001, : 284 - 287
  • [24] The Application of Pattern Recognition in Electrofacies Analysis
    Li, Huan
    Yang, Xiao
    Wei, Wenhong
    JOURNAL OF APPLIED MATHEMATICS, 2014,
  • [25] A multiresolution transform and its application to pattern recognition
    Bonneau, R
    HYBRID IMAGE AND SIGNAL PROCESSING V, 1996, 2751 : 122 - 131
  • [26] Pattern Recognition and Its Application in Image Processing
    Zhao Feng
    Xu Hua
    2020 4TH INTERNATIONAL CONFERENCE ON MACHINE VISION AND INFORMATION TECHNOLOGY (CMVIT 2020), 2020, 1518
  • [27] Audio segmentation-by-classification approach based on factor analysis in broadcast news domain
    Castan, Diego
    Ortega, Alfonso
    Miguel, Antonio
    Lleida, Eduardo
    EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING, 2014, : 1 - 13
  • [28] Audio segmentation-by-classification approach based on factor analysis in broadcast news domain
    Departamento Ingeniería Electrónica y Comunicaciones, Universidad de Zaragoza, María de Luna, 1, Zaragoza
    50018, Spain
    Eurasip J. Audio Speech Music Process., 1 (1-13):
  • [29] Audio segmentation-by-classification approach based on factor analysis in broadcast news domain
    Diego Castán
    Alfonso Ortega
    Antonio Miguel
    Eduardo Lleida
    EURASIP Journal on Audio, Speech, and Music Processing, 2014
  • [30] A sparse extreme learning machine framework by continuous optimization algorithms and its application in pattern recognition
    Yang, Liming
    Zhang, Siyun
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2016, 53 : 176 - 189
12345