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PAMI
2012
12 years 12 days ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
MICCAI
2005
Springer
14 years 10 months ago
Automatic Detection and Segmentation of Robot-Assisted Surgical Motions
Robotic surgical systems such as Intuitive Surgical's da Vinci system provide a rich source of motion and video data from surgical procedures. In principle, this data can be u...
Henry C. Lin, Izhak Shafran, Todd E. Murphy, Allis...
ACL
2006
13 years 11 months ago
Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier
Most approaches to event extraction focus on mentions anchored in verbs. However, many mentions of events surface as noun phrases. Detecting them can increase the recall of event ...
Cassandre Creswell, Matthew J. Beal, John Chen, Th...
ACL
2006
13 years 11 months ago
Factorizing Complex Models: A Case Study in Mention Detection
As natural language understanding research advances towards deeper knowledge modeling, the tasks become more and more complex: we are interested in more nuanced word characteristi...
Radu Florian, Hongyan Jing, Nanda Kambhatla, Imed ...
COLING
2010
13 years 5 months ago
A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
The goal of this work is to produce a classifier that can distinguish subjective sentences from objective sentences for the Urdu language. The amount of labeled data required for ...
Smruthi Mukund, Rohini K. Srihari