163
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Feature selection plays a fundamental role in many pattern
recognition problems. However, most efforts have been
focused on the supervised scenario, while unsupervised feature
s...
176
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
257
click to vote
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...
141
click to vote
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
We consider regions of images that exhibit smooth statistics, and pose the question of characterizing
the “essence” of these regions that matters for visual recognition. Ideal...
168
click to vote
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Accurately identifying corresponded landmarks from a
population of shape instances is the major challenge in
constructing statistical shape models. In general, shapecorrespondenc...