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» Self-Explanatory Simulations: Scaling Up to Large Models
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ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 3 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh
HICSS
2002
IEEE
135views Biometrics» more  HICSS 2002»
15 years 2 months ago
Integrated Production Planning and Route Scheduling in Pulp Mill Industry
In this paper we consider the complete supply chain for a large pulp producer in Sweden. The supply chain is divided up in two parts, the pulp production planning problem and the ...
David Bredström, Mikael Rönnqvist
CLOR
2006
15 years 1 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
CODES
2004
IEEE
15 years 1 months ago
Fast exploration of bus-based on-chip communication architectures
As a result of improvements in process technology, more and more components are being integrated into a single System-on-Chip (SoC) design. Communication between these components ...
Sudeep Pasricha, Nikil D. Dutt, Mohamed Ben-Romdha...
SENSYS
2004
ACM
15 years 3 months ago
Simulating the power consumption of large-scale sensor network applications
Developing sensor network applications demands a new set of tools to aid programmers. A number of simulation environments have been developed that provide varying degrees of scala...
Victor Shnayder, Mark Hempstead, Bor-rong Chen, Ge...