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ECML
2006
Springer
15 years 10 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
WAIM
2010
Springer
15 years 5 months ago
A Model for Automatic Generation of Multi-partite Graphs from Arbitrary Data
In this paper we propose a generic model to generate basic multi-partite graphs obtained by associations found in arbitrary data. The interest of such a model is to be the formal ...
Ricardo A. Baeza-Yates, Nieves R. Brisaboa, Josep-...
TROB
2010
103views more  TROB 2010»
15 years 1 months ago
A Geometrically Exact Model for Externally Loaded Concentric-Tube Continuum Robots
Continuum robots, which are composed of multiple concentric, precurved elastic tubes, can provide dexterity at diameters equivalent to standard surgical needles. Recent mechanicsba...
D. Caleb Rucker, Bryan A. Jones, Robert J. Webster...
ICIP
2002
IEEE
16 years 8 months ago
Extract highlights from baseball game video with hidden Markov models
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
Peng Chang, Mei Han, Yihong Gong
EDBT
2009
ACM
162views Database» more  EDBT 2009»
16 years 1 months ago
A data model for trip planning in multimodal transportation systems
This paper introduces the problem of modeling urban transportation systems in a database where certain aspects of the data are probabilistic in nature. The transportation network ...
Joel Booth, A. Prasad Sistla, Ouri Wolfson, Isabel...