1376 search results - page 63 / 276 » The Localization Hypothesis and Machines |
157
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
160
click to vote
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper describes a local ensemble kernel learning technique to recognize/classify objects from a large number of diverse categories. Due to the possibly large intraclass featu...
158
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
168
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
195
click to vote
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...