44 search results - page 1 / 9 » Visual Learning Given Sparse Data of Unknown Complexity |
ICCV
2005
IEEE
14 years 4 months ago
2005
IEEE
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
KDD
2006
ACM
14 years 11 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
CORR
2010
Springer
13 years 10 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
NECO
2010
13 years 9 months ago
2010
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...