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ICCV
2011
IEEE
12 years 7 months ago
In Defense of Soft-assignment Coding
In object recognition, soft-assignment coding enjoys computational efficiency and conceptual simplicity. However, its classification performance is inferior to the newly develop...
Lingqiao Liu, Lei Wang, Xinwang Liu
IJCNN
2006
IEEE
14 years 1 months ago
SOM-Based Sparse Binary Encoding for AURA Classifier
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
Simon O'Keefe
DCC
2008
IEEE
14 years 7 months ago
Sublinear Recovery of Sparse Wavelet Signals
There are two main classes of decoding algorithms for "compressed sensing," those which run time time polynomial in the signal length and those which use sublinear resou...
Ray Maleh, Anna C. Gilbert
CVPR
2010
IEEE
14 years 1 months ago
Fast Sparse Representation with Prototypes
Sparse representation has found applications in numerous domains and recent developments have been focused on the convex relaxation of the 0-norm minimization for sparse coding (i...
Jia-Bin Huang, Ming-Hsuan Yang
ESANN
2006
13 years 9 months ago
Visual object classification by sparse convolutional neural networks
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Alexander Gepperth