Graphical object recognition using statistical language models

被引：0
|
作者：
Keyes, L [1 ]
O'Sullivan, A [1 ]
Winstanley, A [1 ]
机构：
[1] Inst Technol, Sch Informat & Engn, Dublin 15, Ireland
来源：
EIGHTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, PROCEEDINGS | 2005年
关键词：
D O I：
10.1109/ICDAR.2005.120
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a proposed system for the recognition and labeling of graphical objects within architectural and engineering documents that integrates Statistical Language Models (SLMs) with traditional classifiers. SLMs are techniques used with success in Natural Language Processing (NLP) for use in such tasks as Speech Recognition and Information Retrieval, This research proposes the adaptation of SLMs for use with graphical notation i.e. Statistical Graphical Language Model (SGLMs). Reasoning of the similarities between natural language and technical graphics is presented and the proposed use of SGLM for graphical object recognition is described.
引用
收藏
页码：1095 / 1099
页数：5
相关论文
共 50 条
  • [41] Inference of discontinuity trace length distributions using statistical graphical models
    Jimenez-Rodriguez, R.
    Sitar, N.
    [J]. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2006, 43 (06) : 877 - 893
  • [42] Models of object recognition
    Riesenhuber, Maximilian
    Poggio, Tomaso
    [J]. NATURE NEUROSCIENCE, 2000, 3 (11) : 1199 - 1204
  • [43] Models of object recognition
    Maximilian Riesenhuber
    Tomaso Poggio
    [J]. Nature Neuroscience, 2000, 3 : 1199 - 1204
  • [44] Name entity recognition using language models
    Wang, ZH
    [J]. ASRU'03: 2003 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING ASRU '03, 2003, : 554 - 559
  • [45] GraphXica: A language for graphical animation of models
    Prosvirnova, T.
    Batteux, M.
    Maarouf, A.
    Rauzy, A.
    [J]. SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON, 2014, : 1137 - 1145
  • [46] Object recognition using appearance models accumulated into environment
    Mae, Y
    Umetani, T
    Arai, T
    Inoue, K
    [J]. 15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS: APPLICATIONS, ROBOTICS SYSTEMS AND ARCHITECTURES, 2000, : 845 - 848
  • [47] Graphical models and automatic speech recognition
    Bilmes, JA
    [J]. MATHEMATICAL FOUNDATIONS OF SPEECH AND LANGUAGE PROCESSING, 2004, 138 : 191 - 245
  • [48] Sparsity-based Face Recognition using Discriminative Graphical Models
    Srinivas, Umamahesh
    Monga, Vishal
    Chen, Yi
    Tran, Trac D.
    [J]. 2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR), 2011, : 1204 - 1208
  • [49] OBJECT RECOGNITION USING INVARIANT OBJECT BOUNDARY REPRESENTATIONS AND NEURAL NETWORK MODELS
    BEBIS, GN
    PAPADOURAKIS, GM
    [J]. PATTERN RECOGNITION, 1992, 25 (01) : 25 - 44
  • [50] Semantic roles modeling using statistical language models
    Ondas, S.
    Hladek, D.
    Stas, J.
    Juhar, J.
    Kovacs, L.
    Baksane, E. Varga
    [J]. 2015 13TH INTERNATIONAL CONFERENCE ON EMERGING ELEARNING TECHNOLOGIES AND APPLICATIONS (ICETA), 2015, : 283 - 288
12345