2295 search results - page 289 / 459 » Learning Overcomplete Representations |
131
Voted
ML
2000
ACM
15 years 2 months ago
2000
ACM
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
143
Voted
ML
2010
ACM
15 years 1 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...
144
Voted
ISDA
2010
IEEE
15 years 16 days 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...
115
Voted
IWANN
2005
Springer
15 years 8 months 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...
147
click to vote
CVPR
2006
IEEE
16 years 4 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 ...