140
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Image parsing remains difficult due to the need to combine
local and contextual information when labeling a
scene. We approach this problem by using the epitome as a
prior over ...
125
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
129
click to vote
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...
155
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...
113
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
In this paper, we address the complex problem of rapid modeling
of large-scale areas and present a novel approach for the automatic
reconstruction of cities from remote sensor da...