414 search results - page 30 / 83 » Kernel Optimization in Discriminant Analysis |
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper presents a novel approach for multimodal information fusion. The proposed method is based on kernel cross-modal factor analysis (KCFA), in which the optimal transformat...
101
Voted
DAGM
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
111
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
104
Voted
AAAI
2010
15 years 21 days ago
2010
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
107
Voted
IEEEMM
2007
15 years 13 days ago
2007
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...