231 search results - page 14 / 47 » Object Class Recognition by Boosting a Part-Based Model |
101
Voted
CVPR
2007
IEEE
16 years 27 days ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
CVPR
2008
IEEE
16 years 27 days ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
NIPS
2004
15 years 8 days ago
2004
We present a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects are modeled as flexible constellations of parts co...
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
123
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IWCM
2004
Springer
15 years 4 months ago
2004
Springer
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...