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134
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ACL
2012
13 years 6 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
171
Voted
AAAI
2012
13 years 6 months ago
Online Task Assignment in Crowdsourcing Markets
We explore the problem of assigning heterogeneous tasks to workers with different, unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first formalize ...
Chien-Ju Ho, Jennifer Wortman Vaughan
139
Voted
ACMICEC
2003
ACM
172views ECommerce» more  ACMICEC 2003»
15 years 9 months ago
Automated mechanism design: complexity results stemming from the single-agent setting
The aggregation of conflicting preferences is a central problem in multiagent systems. The key difficulty is that the agents may report their preferences insincerely. Mechanism ...
Vincent Conitzer, Tuomas Sandholm
189
Voted
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
141
Voted
CVPR
2008
IEEE
16 years 5 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher