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MODELS
2009
Springer
15 years 4 months ago
Towards Composite Model Transformations Using Distributed Graph Transformation Concepts
Model-based development of highly complex software systems leads to large models. Storing them in repositories offers the possibility to work with these models in a distributed env...
Stefan Jurack, Gabriele Taentzer
ICCAD
2000
IEEE
91views Hardware» more  ICCAD 2000»
15 years 2 months ago
A Timing-Constrained Algorithm for Simultaneous Global Routing of Multiple Nets
In this paper, we propose a new approach for VLSI interconnect global routing that can optimize both congestion and delay, which are often competing objectives. Our approach provi...
Jiang Hu, Sachin S. Sapatnekar
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Probabilistic Multimodality Fusion for Event based Home Photo Clustering
This paper presents a novel probabilistic approach to fusing multimodal metadata for event based home photo clustering. Photo events are characterized by the coherence of multimod...
Tao Mei, Bin Wang, Xian-Sheng Hua, He-Qin Zhou, Sh...
AAAI
2011
13 years 9 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
NIPS
2003
14 years 11 months ago
Log-Linear Models for Label Ranking
Label ranking is the task of inferring a total order over a predefined set of labels for each given instance. We present a general framework for batch learning of label ranking f...
Ofer Dekel, Christopher D. Manning, Yoram Singer