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» On the discovery of process models from their instances
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COR
2011
15 years 1 months ago
Event-based MILP models for resource-constrained project scheduling problems
In this paper we make a comparative study of several mixed integer linear programming (MILP) formulations for resource-constrained project scheduling problems (RCPSPs). First, we ...
Oumar Koné, Christian Artigues, Pierre Lope...
LPNMR
2009
Springer
16 years 21 days ago
Application of ASP for Automatic Synthesis of Flexible Multiprocessor Systems from Parallel Programs
Configurable on chip multiprocessor systems combine advantages of task-level parallelism and the flexibility of field-programmable devices to customize architectures for paralle...
Harold Ishebabi, Philipp Mahr, Christophe Bobda, M...
CVPR
2006
IEEE
16 years 8 months ago
Improving Recognition of Novel Input with Similarity
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...
Jerod J. Weinman, Erik G. Learned-Miller
PERCOM
2007
ACM
16 years 5 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
ECCV
2008
Springer
16 years 8 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...