780 search results - page 100 / 156 » Learning Mid-Level Features For Recognition |
107
Voted
ICCV
2005
IEEE
15 years 8 months ago
2005
IEEE
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
113
Voted
BMVC
1998
15 years 3 months ago
1998
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
109
Voted
ICONIP
1998
15 years 3 months ago
1998
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
135
click to vote
IJCNN
2000
IEEE
15 years 6 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
129
Voted
ICCV
2005
IEEE
16 years 4 months ago
2005
IEEE
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...