1018 search results - page 52 / 204 » Learning Probabilistic Models of Contours |
110
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
111
Voted
UAI
2003
15 years 4 months ago
2003
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
108
Voted
WWW
2009
ACM
15 years 9 months ago
2009
ACM
In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
156
Voted
PAMI
2011
14 years 5 months ago
2011
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
143
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ECCV
2002
Springer
16 years 4 months ago
2002
Springer
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...