SCOPUS 정보 검색 플랫폼

Volumn , Issue , 2012, Pages 457-471

GPU Metaprogramming: A Case Study in Biologically Inspired Machine Vision

Author keywords

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Indexed keywords

EID: 84882564735 PISSN: None EISSN: None Source Type: Book
DOI: 10.1016/B978-0-12-385963-1.00033-2 Document Type: Chapter

Times cited : (5)

References (14)

1
- 0019152630
- Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
- Fukushima K. Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol. Cybern. 1980, 36(4):93-202.
- (1980) Biol. Cybern. , vol.36 , Issue.4 , pp. 93-202
- Fukushima, K.¹

2
- 33847380121
- Robust object recognition with cortex-like mechanisms
- Serre T., Wolf L., Bileschi S., Riesenhuber M., Poggio T. Robust object recognition with cortex-like mechanisms. TPAMI 2007, 29(3):411-426.
- (2007) TPAMI , vol.29 , Issue.3 , pp. 411-426
- Serre, T.¹ Wolf, L.² Bileschi, S.³ Riesenhuber, M.⁴ Poggio, T.⁵

3
- 51149092609
- Object class recognition and localization using sparse features with limited receptive fields
- Mutch J., Lowe D.G. Object class recognition and localization using sparse features with limited receptive fields. IJCV 2008, 80(1):45-57.
- (2008) IJCV , vol.80 , Issue.1 , pp. 45-57
- Mutch, J.¹ Lowe, D.G.²

4
- 73449129720
- A high-throughput screening approach to discovering good forms of biologically inspired visual representation
- Pinto N., Doukhan D., DiCarlo J.J., Cox D.D. A high-throughput screening approach to discovering good forms of biologically inspired visual representation. PLoS Comput. Biol. 2009, 5(11):e1000579. 10.1371/journal.pcbi.1000579.
- (2009) PLoS Comput. Biol. , vol.5 , Issue.11 , pp. 579
- Pinto, N.¹ Doukhan, D.² DiCarlo, J.J.³ Cox, D.D.⁴

5
- 79952501854
- Establishing good benchmarks and baselines for face recognition
- Pinto N., DiCarlo J.J., Cox D.D. Establishing good benchmarks and baselines for face recognition. ECCV Workshop on Faces in Real-Life Images 2008.
- (2008) ECCV Workshop on Faces in Real-Life Images
- Pinto, N.¹ DiCarlo, J.J.² Cox, D.D.³

6
- 77953183471
- What is the best multi-stage architecture for object recognition?
- Jarrett K., Kavukcuoglu K., Ranzato M., LeCun Y. What is the best multi-stage architecture for object recognition?. ICCV 2009.
- (2009) ICCV
- Jarrett, K.¹ Kavukcuoglu, K.² Ranzato, M.³ LeCun, Y.⁴

7
- 38949193299
- Why is real-world visual object recognition hard?
- Pinto N., Cox D.D., DiCarlo J.J. Why is real-world visual object recognition hard?. PLoS Comput. Biol. 2008, 4(1):e27.
- (2008) PLoS Comput. Biol. , vol.4 , Issue.1 , pp. 27
- Pinto, N.¹ Cox, D.D.² DiCarlo, J.J.³

8
- 70450172604
- How far can you get with a modern face recognition test set using only simple features?
- Pinto N., DiCarlo J.J., Cox D.D. How far can you get with a modern face recognition test set using only simple features?. CVPR 2009.
- (2009) CVPR
- Pinto, N.¹ DiCarlo, J.J.² Cox, D.D.³

9
- 79958697382
- Beyond simple features: a large-scale feature search approach to unconstrained face recognition
- Pinto N., Cox D.D. Beyond simple features: a large-scale feature search approach to unconstrained face recognition. IEEE Autom. Face Gesture Recognit, 2011.
- (2011) IEEE Autom. Face Gesture Recognit,
- Pinto, N.¹ Cox, D.D.²

11
- 84882531011
- PyCUDA. , (accessed 26.02.11).
- PyCUDA. , 2011 (accessed 26.02.11). http://mathema.tician.de/software/pycuda.
- (2011)

12
- 84882490871
- Cheetah. , (accessed 26.02.11).
- Cheetah. , 2011 (accessed 26.02.11). http://www.cheetahtemplate.org/.
- (2011)

13
- 84882493188
- Decuda. , (accessed 26.02.11).
- Decuda. , 2011 (accessed 26.02.11). https://github.com/laanwj/decuda/wiki.
- (2011)

14
- 84882535364
- Example code repository.
- Example code repository. http://www.github.com/gcg-metaprog-chapter/gcg.

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