627 search results - page 19 / 126 » Structural Learning of Activities from Sparse Datasets |
113
click to vote
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
UAI
2004
14 years 11 months ago
2004
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
CLOR
2006
15 years 1 months ago
2006
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
88
Voted
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Representation and measurement are two important issues for saliency models. Different with previous works that learnt sparse features from large scale natural statistics, we prop...