1956 search results - page 91 / 392 » Learning the Relative Importance of Features in Image Data |
ECML
2006
Springer
14 years 12 days ago
2006
Springer
Minimum volume covering ellipsoid estimation is important in areas such as systems identification, control, video tracking, sensor management, and novelty detection. It is well kno...
SIGIR
2009
ACM
14 years 3 months ago
2009
ACM
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
SIGIR
2003
ACM
14 years 2 months ago
2003
ACM
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...