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Volumn , Issue , 2015, Pages 60-69

Comparing attribute classifiers for interactive language grounding

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS; SPEECH PROCESSING;

EID: 85123580328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (33)
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    • Chang, Chih-Chung1    Lin, Chih-Jen2
  • 4
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    • Records and record types in semantic theory
    • Robin Cooper. 2005. Records and record types in semantic theory. Journal of Logic and Computation, 15(2):99-112.
    • (2005) Journal of Logic and Computation , vol.15 , Issue.2 , pp. 99-112
    • Cooper, Robin1
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    • 34848927515 scopus 로고    scopus 로고
    • An enhanced self-organizing incremental neural network for online unsupervised learning
    • Shen Furao, Tomotaka Ogura, and Osamu Hasegawa. 2007. An enhanced self-organizing incremental neural network for online unsupervised learning. Neural Networks, 20(8):893-903.
    • (2007) Neural Networks , vol.20 , Issue.8 , pp. 893-903
    • Furao, Shen1    Ogura, Tomotaka2    Hasegawa, Osamu3
  • 13
    • 84959099868 scopus 로고    scopus 로고
    • Deep visual-semantic alignments for generating image descriptions
    • abs/1412.2306
    • Andrej Karpathy and Li Fei-Fei. 2014. Deep visual-semantic alignments for generating image descriptions. CoRR, abs/1412.2306.
    • (2014) CoRR
    • Karpathy, Andrej1    Fei-Fei, Li2
  • 18
    • 84906923690 scopus 로고    scopus 로고
    • Jointly learning to parse and perceive: Connecting natural language to the physical world
    • Jayant Krishnamurthy and Thomas Kollar. 2013. Jointly learning to parse and perceive: Connecting natural language to the physical world. TACL, 1:193-206.
    • (2013) TACL , vol.1 , pp. 193-206
    • Krishnamurthy, Jayant1    Kollar, Thomas2
  • 22
    • 34047174674 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • Fei-Fei Li, Robert Fergus, and Pietro Perona. 2007. Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories. Computer Vision and Image Understanding, 106(1):59-70.
    • (2007) Computer Vision and Image Understanding , vol.106 , Issue.1 , pp. 59-70
    • Li, Fei-Fei1    Fergus, Robert2    Perona, Pietro3
  • 32
    • 33947681316 scopus 로고    scopus 로고
    • ML-KNN: A lazy learning approach to multi-label learning
    • Min-Ling Zhang and Zhi-Hua Zhou. 2007. ML-KNN: A lazy learning approach to multi-label learning. Pattern Recognition, 40(7):2038-2048.
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, Min-Ling1    Zhou, Zhi-Hua2
  • 33
    • 84875072988 scopus 로고    scopus 로고
    • An online incremental learning support vector machine for large-scale data
    • Jun Zheng, Furao Shen, Hongjun Fan, and Jinxi Zhao. 2013. An online incremental learning support vector machine for large-scale data. Neural Computing and Applications, 22(5):1023-1035.
    • (2013) Neural Computing and Applications , vol.22 , Issue.5 , pp. 1023-1035
    • Zheng, Jun1    Shen, Furao2    Fan, Hongjun3    Zhao, Jinxi4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.