1215 search results - page 42 / 243 » Dimensions of machine learning in design |
148
Voted
ICMLA
2009
15 years 1 months ago
2009
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
133
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COLT
2010
Springer
15 years 1 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
162
Voted
MICCAI
2007
Springer
16 years 4 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
119
Voted
ICANN
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
121
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ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable o...