2865 search results - page 92 / 573 » Learning Models for Object Recognition |
ECCV
2008
Springer
15 years 4 days ago
2008
Springer
Abstract. An important task in object recognition is to enable algorithms to categorize objects under arbitrary poses in a cluttered 3D world. A recent paper by Savarese & Fei-...
CVPR
2008
IEEE
15 years 8 days ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
ACCV
2006
Springer
14 years 4 months ago
2006
Springer
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
ECCV
2004
Springer
14 years 3 months ago
2004
Springer
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...