3051 search results - page 400 / 611 » Learning Internal Representations |
204
click to vote
ML
2010
ACM
15 years 5 months ago
2010
ACM
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
189
click to vote
ISDA
2010
IEEE
15 years 4 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
215
click to vote
CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
165
click to vote
IWANN
2005
Springer
16 years 18 hour ago
2005
Springer
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
203
click to vote
CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
We present a new method for segmenting actions into primitives and classifying them into a hierarchy of action classes. Our scheme learns action classes in an unsupervised manner ...