Combining Newton interpolation and deep learning for image classification

Electronics Letters

Volumn 51, Issue 1, 2015, Pages 40-42

  Zhang, Yongfeng ^a   Shang, Changjing ^a  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; INTERPOLATION;

ADVANCED LEARNING; CLASSIFICATION TECHNIQUE; COMPUTATIONAL COSTS; DEEP LEARNING; FEATURE SETS; HANDWRITTEN DIGIT; NEWTON INTERPOLATION; SPATIO-TEMPORAL INFERENCE;

IMAGE CLASSIFICATION;

EID: 84919830285     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el.2014.3223     Document Type: Article

References (5)

1. Bengio, Y.: 'Learning deep architectures for AI, Found. Trends Mach. Learn., 2009, 2, (1), pp. 1-127
2. Arel, I., Rose, D., and Coop, R.: 'DeSTIN: a scalable deep learning architecture with application to high-dimensional robust pattern recognition'. Proc. AAAI Workshop on Biologically Inspired Cognitive Architectures, Arlington, VA, USA, November 2009, pp. 1150-1157
3. Shang, C, and Barnes, D.: 'Fuzzy-rough feature selection aided support vector machines for Mars image classification', Comput. Vis. Image Underst, 2013, 117, (3), pp. 202-213
4. Mohri, M., Rostamizadeh, A., and Talwalkar, A.: 'Foundations of machine learning' (MIT Press, Cambridge, MA, USA, 2012)
5. Le Cun, Y., and Cortes, C: 'The MNIST database of handwritten digits', 1998