Name
Abstract | ||
|---|---|---|
We present a method for learning image representations using a two-layer sparse coding scheme at the pixel level. The first layer encodes local patches of an image. After pooling within local regions, the first layer codes are then passed to the second layer, which jointly encodes signals from the region. Unlike traditional sparse coding methods that encode local patches independently, this approach accounts for high-order dependency among patterns in a local image neighborhood. We develop algorithms for data encoding and codebook learning, and show in experiments that the method leads to more invariant and discriminative image representations. The algorithm gives excellent results for hand-written digit recognition on MNIST and object recognition on the Caltech101 benchmark. This marks the first time that such accuracies have been achieved using automatically learned features from the pixel level, rather than using hand-designed descriptors. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CVPR.2011.5995732 | CVPR |
Keywords | Field | DocType |
local patch,image representation,image coding,hierarchical sparse coding,image representation learning,layer code,encode local patch,encodes signal,hand-designed descriptors,two-layer sparse coding scheme,local region,pixel level,hand-written digit recognition,data encoding,high-order dependency,feature extraction,caltechlol benchmark,object recognition,handwritten character recognition,codebook learning,discriminative image representation,local image neighborhood,mnist,convolution,optimization,encoding,sparse coding | Computer vision,MNIST database,Pattern recognition,Neural coding,Computer science,Feature extraction,Artificial intelligence,Pixel,Discriminative model,Codebook,Cognitive neuroscience of visual object recognition,Encoding (memory) | Conference |
Volume | Issue | ISSN |
2011 | 1 | 1063-6919 |
ISBN | Citations | PageRank |
978-1-4577-0394-2 | 112 | 3.79 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu, Kai | 1 | 4799 | 255.21 |
| Lin, Yuanqing | 2 | 1143 | 59.04 |
| John D. Lafferty | 3 | 14904 | 1772.53 |