2750 search results - page 73 / 550 » The complexity of learning SUBSEQ(A) |
170
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CVPR
1997
IEEE
16 years 8 months ago
1997
IEEE
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
172
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NIPS
2004
15 years 7 months ago
2004
Successful application of reinforcement learning algorithms often involves considerable hand-crafting of the necessary non-linear features to reduce the complexity of the value fu...
167
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ECAI
2004
Springer
15 years 11 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
185
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KES
2007
Springer
16 years 9 days ago
2007
Springer
Biological systems consist of many components and interactions between them. In Systems Biology the principal problem is modeling complex biological systems and reconstructing inte...
IJNCR
2010
15 years 3 months ago
2010
we present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). We apply it to learning and recognition of situations composed of objects. NM...