CVPR
2011
IEEE
13 years 7 months ago
2011
IEEE
Recognizing faces in unconstrained videos is a task of mounting importance. While obviously related to face recognition in still images, it has its own unique characteristics and ...
ACL
2010
13 years 9 months ago
2010
Despite the existence of several noun phrase coreference resolution data sets as well as several formal evaluations on the task, it remains frustratingly difficult to compare resu...
ICMLA
2008
14 years 10 days ago
2008
This article presents a method for the calculating similarity of two trajectories. The method is especially designed for a situation where the points of the trajectories are distr...
AIA
2007
14 years 10 days ago
2007
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
ICANN
2003
Springer
14 years 4 months ago
2003
Springer
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an ite...
PAKDD
2004
ACM
14 years 4 months ago
2004
ACM
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
ISNN
2004
Springer
14 years 4 months ago
2004
Springer
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
IJCNN
2006
IEEE
14 years 4 months ago
2006
IEEE
— A method is presented for extending the Evolving Connectionist System (ECoS) algorithm that allows it to explicitly represent and learn nominal-scale data without the need for ...
MCS
2007
Springer
14 years 5 months ago
2007
Springer
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
SDM
2009
SIAM
14 years 8 months ago
2009
SIAM
A fundamental task of data analysis is comprehending what distinguishes clusters found within the data. We present the problem of mining distinguishing sets which seeks to find s...