403 search results - page 49 / 81 » Metric and Kernel Learning Using a Linear Transformation |
119
Voted
KDD
2004
ACM
16 years 2 months ago
2004
ACM
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
104
click to vote
NIPS
2004
15 years 3 months ago
2004
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
126
Voted
CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
117
Voted
ICIP
2001
IEEE
16 years 3 months ago
2001
IEEE
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...
117
click to vote
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
We consider the task of acoustic system identification, where the input signal undergoes a memoryless nonlinear transformation before convolving with an unknown linear system. We...