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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
EMNLP
2010
13 years 5 months ago
What a Parser Can Learn from a Semantic Role Labeler and Vice Versa
In many NLP systems, there is a unidirectional flow of information in which a parser supplies input to a semantic role labeler. In this paper, we build a system that allows inform...
Stephen A. Boxwell, Dennis Mehay, Chris Brew
NCA
2007
IEEE
14 years 2 months ago
Scheduling Bulk File Transfers with Start and End Times
The advancement of optical networking technologies has enabled e-science applications that often require transport of large volumes of scientific data. In support of such data-in...
Kannan Rajah, Sanjay Ranka, Ye Xia
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
14 years 3 days ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux
ICRA
1998
IEEE
108views Robotics» more  ICRA 1998»
13 years 12 months ago
Zoom Tracking
We present a new active vision technique called zoom tracking. Zoom tracking is the continuous adjustment of a camera's focal length in order to keep a constant-sized image of...
Jeffrey A. Fayman, Oded Sudarsky, Ehud Rivlin