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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 10 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
BMCBI
2008
211views more  BMCBI 2008»
13 years 10 months ago
CPSP-tools - Exact and complete algorithms for high-throughput 3D lattice protein studies
Background: The principles of protein folding and evolution pose problems of very high inherent complexity. Often these problems are tackled using simplified protein models, e.g. ...
Martin Mann, Sebastian Will, Rolf Backofen
ECCV
2008
Springer
15 years 9 days ago
Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...
Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 11 months ago
Characteristic relational patterns
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
Arne Koopman, Arno Siebes
SAB
2004
Springer
159views Optimization» more  SAB 2004»
14 years 3 months ago
Swarming Behavior Using Probabilistic Roadmap Techniques
While techniques exist for simulating swarming behaviors, these methods usually provide only simplistic navigation and planning capabilities. In this review, we explore the benefi...
O. Burçhan Bayazit, Jyh-Ming Lien, Nancy M....