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Task-oriented sparse coding model for pattern classification
Li, QY; Lin, DC; Shi, ZZ
2005
发表期刊ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS
ISSN0302-9743
卷号3610页码:903-914
摘要Although the basic sparse coding model has been quite successful at explaining the receptive fields of simple cells in V1, it ignores an important constrain: perception task. We put forward a novel sparse coding model, called task-oriented sparse coding (TOSC) model, combining the discriminability constrain supervised by classification task, besides the sparseness criteria. Simulation experiments are performed using real images including class of scene and class of building. The results show that TOSC can organize some significant receptive fields with distinct topological structure which will favor the classification task. Moreover, the coefficients of TOSC notablely improve the classification accuracy, from the 53.5% of pixel-based model to 86.7%, in the case of none distinct damage on the performance of reconstruction error and sparseness. TOSC model, complementing the feedback sparse coding model, is more consistent with biological mechanism, and shows good potential in the feature extraction for pattern classification.
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000232222400121
出版者SPRINGER-VERLAG BERLIN
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/10271
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, QY
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
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GB/T 7714
Li, QY,Lin, DC,Shi, ZZ. Task-oriented sparse coding model for pattern classification[J]. ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS,2005,3610:903-914.
APA Li, QY,Lin, DC,&Shi, ZZ.(2005).Task-oriented sparse coding model for pattern classification.ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS,3610,903-914.
MLA Li, QY,et al."Task-oriented sparse coding model for pattern classification".ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS 3610(2005):903-914.
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