2865 search results - page 18 / 573 » Learning Models for Object Recognition |
185
Voted
ICCV
2005
IEEE
15 years 12 months ago
2005
IEEE
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
177
Voted
CIARP
2007
Springer
16 years 17 days ago
2007
Springer
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
158
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ICPR
2000
IEEE
15 years 10 months ago
2000
IEEE
We discuss the issues and challenges of generic object recognition. We argue that high-level, volumetric part-based descriptions are essential in the process of recognizing object...
148
Voted
CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
188
Voted
ICASSP
2008
IEEE
16 years 25 days ago
2008
IEEE
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...