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DAGM
2010
Springer
15 years 7 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
IJMI
2002
126views more  IJMI 2002»
15 years 6 months ago
Representation primitives, process models and patient data in computer-interpretable clinical practice guidelines: : A literatur
Representation of clinical practice guidelines in a computer-interpretable format is a critical issue for guideline development, implementation, and evaluation. We studied 11 type...
Dongwen Wang, Mor Peleg, Samson W. Tu, Aziz A. Box...
HICSS
2007
IEEE
156views Biometrics» more  HICSS 2007»
16 years 21 days ago
Bridging Business Value Models and Process Models in Aviation Value Webs via Possession Rights
While exploring value webs -cooperating enterprises- it is common to view such webs from multiple perspectives: (1) the business value perspective, (2) the business process perspe...
Vincent Pijpers, Jaap Gordijn
DAC
2003
ACM
16 years 7 months ago
A complexity effective communication model for behavioral modeling of signal processing applications
In this paper, we argue that the address space of memory regions that participate in inter task communication is over-specified by the traditional communication models used in beh...
M. N. V. Satya Kiran, M. N. Jayram, Pradeep Rao, S...
ENDM
2000
174views more  ENDM 2000»
15 years 6 months ago
Hybrid Constraints in Automated Model Synthesis and Model Processing
Both parametric design tasks and analysis tasks of technical systems have a similar problem setting: The structure of the system to be configured or analyzed is defined already. W...
Klaus-Ulrich Leweling, Benno Stein