2593 search results - page 198 / 519 » Learning Visual Attributes |
161
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ICRA
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper, we present a component-based visual object tracker for mobile platforms. The core of the technique is a component-based descriptor that captures the structure and ap...
ECCV
2010
Springer
15 years 7 months ago
2010
Springer
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
104
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IJCAI
2007
15 years 3 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
134
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
167
Voted
ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...