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» Multidimensional Data Modeling for Business Process Analysis
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138
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PERCOM
2007
ACM
16 years 2 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
ICTAI
2006
IEEE
15 years 9 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
97
Voted
KDD
1994
ACM
113views Data Mining» more  KDD 1994»
15 years 7 months ago
Exploration of Simulation Experiments by Discovery
: Weexemplify in this paper, howa discovery system is applied to the analysis of simulation experimentsin practical political planning, andshowwhatkind of newknowledgecan be discov...
Willi Klösgen
3DIM
2007
IEEE
15 years 9 months ago
Generalized MPU Implicits Using Belief Propagation
In this paper, we present a new algorithm to reconstruct 3D surfaces from an unorganized point cloud based on generalizing the MPU implicit algorithm through introducing a powerfu...
Yi-Ling Chen, Shang-Hong Lai, Tung-Ying Lee
RSP
1999
IEEE
125views Control Systems» more  RSP 1999»
15 years 7 months ago
Extended Synchronous Dataflow for Efficient DSP System Prototyping
Though synchronous dataflow (SDF) graph has been a successful input specification language for digital signal processing (DSP) applications, lack of support for global states makes...
Chanik Park, JaeWoong Chung, Soonhoi Ha