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» Joint Inference in Information Extraction
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ACL
2004
13 years 9 months ago
Applying Machine Learning to Chinese Temporal Relation Resolution
Temporal relation resolution involves extraction of temporal information explicitly or implicitly embedded in a language. This information is often inferred from a variety of inte...
Wenjie Li, Kam-Fai Wong, Guihong Cao, Chunfa Yuan
EMNLP
2009
13 years 5 months ago
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Kedar Bellare, Andrew McCallum
CVPR
2008
IEEE
14 years 9 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
CVPR
2012
IEEE
11 years 10 months ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
JSAC
2006
120views more  JSAC 2006»
13 years 7 months ago
Multiple-Source Internet Tomography
Abstract-- Information about the topology and link-level characteristics of a network is critical for many applications including network diagnostics and management. However, this ...
Michael Rabbat, Mark Coates, Robert D. Nowak