78 search results - page 5 / 16 » Agnostic Learning vs. Prior Knowledge Challenge |
SIGIR
2008
ACM
14 years 9 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
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UM
2007
Springer
15 years 3 months ago
2007
Springer
In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimat...
PAKDD
2009
ACM
15 years 4 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
NIPS
2008
14 years 11 months ago
2008
In this paper we aim to train deep neural networks for rapid visual recognition. The task is highly challenging, largely due to the lack of a meaningful regularizer on the functio...