176 search results - page 9 / 36 » Learning with Transformation Invariant Kernels |
120
click to vote
BMVC
2010
14 years 12 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
114
Voted
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categoriza...
95
Voted
NIPS
2007
15 years 3 months ago
2007
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
118
click to vote
CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
115
click to vote
NIPS
2007
15 years 3 months ago
2007
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...