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» Generating from a Deep Structure
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RECOMB
2010
Springer
15 years 7 months ago
MoGUL: Detecting Common Insertions and Deletions in a Population
Abstract. While the discovery of structural variants in the human population is ongoing, most methods for this task assume that the genome is sequenced to high coverage (e.g. 40x),...
Seunghak Lee, Eric Xing, Michael Brudno
144
Voted
EMNLP
2010
15 years 1 months ago
Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks
In state-of-the-art approaches to information extraction (IE), dependency graphs constitute the fundamental data structure for syntactic structuring and subsequent knowledge elici...
Ekaterina Buyko, Udo Hahn
158
Voted
BILDMED
2003
176views Algorithms» more  BILDMED 2003»
15 years 5 months ago
Volumetric Meshes for Real-Time Medical Simulations
We present an approach to generating volumetric meshes from closed triangulated surface meshes. The approach initially generates a structured hexahedral mesh based on the bounding ...
Matthias Müller, Matthias Teschner
150
Voted
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 7 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
IJCNN
2008
IEEE
15 years 10 months ago
A connection-limited neural network by InfoMax and InfoMin
— It is well known that edge filters in the visual system can be generated by the InfoMax principle. But, such models are nonlinear and employ fully-connected network structures...
Yoshitatsu Matsuda, Kazunori Yamaguchi