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» A Generative Model Based Approach to Motion Segmentation
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EMNLP
2009
13 years 6 months ago
Unsupervised morphological segmentation and clustering with document boundaries
Many approaches to unsupervised morphology acquisition incorporate the frequency of character sequences with respect to each other to identify word stems and affixes. This typical...
Taesun Moon, Katrin Erk, Jason Baldridge
ICSE
2009
IEEE-ACM
14 years 3 months ago
Footprinter: Round-trip engineering via scenario and state based models
In model-driven software development, while scenariobased models are closer to distributed system requirements, state-based models are suitable for code generation. Our tool ‘Fo...
Ankit Goel, Bikram Sengupta, Abhik Roychoudhury
IJVR
2007
204views more  IJVR 2007»
13 years 8 months ago
Modeling and Animating Virtual Humans
—We report on the workflow for the creation of realistic virtual anthropomorphic characters. 3D-models of human heads have been reconstructed from real people by following a stru...
Frank Hülsken, Christian Eckes, Roland Kuck, ...
EMNLP
2004
13 years 9 months ago
Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mar...
CDC
2008
IEEE
127views Control Systems» more  CDC 2008»
14 years 2 months ago
Prediction of vertical motions for landing operations of UAVs
— This paper outlines a novel and feasible procedure to predict vertical motions for safe landing of unmanned aerial vehicles (UAVs) during maritime operations. In the presence o...
Xilin Yang, Hemanshu Roy Pota, Matthew Garratt, Va...