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143
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JMLR
2012
13 years 3 months ago
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
Avneesh Singh Saluja, Priya Krishnan Sundararajan,...
137
Voted
CVPR
2012
IEEE
13 years 3 months ago
Estimating the aspect layout of object categories
In this work we seek to move away from the traditional paradigm for 2D object recognition whereby objects are identified in the image as 2D bounding boxes. We focus instead on: i...
Yu Xiang, Silvio Savarese
156
Voted
CVPR
2012
IEEE
13 years 3 months ago
Bridging the past, present and future: Modeling scene activities from event relationships and global rules
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
115
Voted
ACL
2012
13 years 3 months ago
Discriminative Pronunciation Modeling: A Large-Margin, Feature-Rich Approach
We address the problem of learning the mapping between words and their possible pronunciations in terms of sub-word units. Most previous approaches have involved generative modeli...
Hao Tang, Joseph Keshet, Karen Livescu
172
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ESORICS
2012
Springer
13 years 3 months ago
Boosting the Permissiveness of Dynamic Information-Flow Tracking by Testing
Tracking information flow in dynamic languages remains an open challenge. It might seem natural to address the challenge by runtime monitoring. However, there are well-known funda...
Arnar Birgisson, Daniel Hedin, Andrei Sabelfeld