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» Embedding Heterogeneous Data Using Statistical Models
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DCOSS
2007
Springer
14 years 4 months ago
A Semantics-Based Middleware for Utilizing Heterogeneous Sensor Networks
With the proliferation of various kinds of sensor networks, we will see large amounts of heterogeneous data. They have different characteristics such as data content, formats, mod...
Eric Bouillet, Mark Feblowitz, Zhen Liu, Anand Ran...
3DPVT
2004
IEEE
316views Visualization» more  3DPVT 2004»
14 years 2 months ago
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
Abstract-General information about a class of objects, such as human faces or teeth, can help to solve the otherwise ill-posed problem of reconstructing a complete surface from spa...
Volker Blanz, Albert Mehl, Thomas Vetter, Hans-Pet...
PAMI
2007
154views more  PAMI 2007»
13 years 10 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...
EUROMICRO
2004
IEEE
14 years 2 months ago
SaveCCM - A Component Model for Safety-Critical Real-Time Systems
Component-based development has proven effective in many engineering domains, and several general component technologies are available. Most of these are focused on providing an e...
Hans Hansson, Mikael Åkerholm, Ivica Crnkovi...
CIBB
2008
14 years 19 days ago
Curating a Large-Scale Regulatory Network by Evaluating Its Consistency with Expression Datasets
Abstract. The analysis of large-scale regulatory models using data issued from genome-scale high-throughput experimental techniques is an actual challenge in the systems biology fi...
Carito Guziolowski, Jeremy Gruel, Ovidiu Radulescu...