3236 search results - page 110 / 648 » Active kernel learning |
110
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
104
Voted
ML
2008
ACM
15 years 19 days ago
2008
ACM
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
117
Voted
MM
2004
ACM
15 years 6 months ago
2004
ACM
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
103
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
94
Voted
JMIV
2010
14 years 11 months ago
2010
Motivated by the setting of reproducing kernel Hilbert space (RKHS) and its extensions considered in machine learning, we propose an RKHS framework for image and video colorizatio...