144
click to vote
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
Graph matching is an important problem in computer
vision. It is used in 2D and 3D object matching and recognition.
Despite its importance, there is little literature on
learnin...
155
click to vote
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...
158
click to vote
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
Non-linear dimensionality reductionmethods are powerful techniques to deal with
high-dimensional datasets. However, they often are susceptible to local minima
and perform poorly ...
150
click to vote
CVPR
2009
IEEE
16 years 9 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...
161
click to vote
CVPR
2009
IEEE
16 years 9 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.
...
238
click to vote
CVPR
2009
IEEE
16 years 9 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...
128
click to vote
CVPR
2009
IEEE
16 years 9 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...
152
click to vote
CVPR
2009
IEEE
16 years 9 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...
149
click to vote
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...
141
click to vote
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
We propose an approach to overcome the two main challenges
of 3D multiview object detection and localization:
The variation of object features due to changes in the viewpoint
an...