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TSP
2010
15 years 1 months ago
Covariance estimation in decomposable Gaussian graphical models
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
Ami Wiesel, Yonina C. Eldar, Alfred O. Hero
ICASSP
2011
IEEE
14 years 10 months ago
A hierarchical generative model for Generic Audio Document Categorization
In this paper, we call the pattern classification problem that consists in assigning a category label to a long audio signal based on its semantic content as Generic Audio Documen...
Zhi Zeng, Shuwu Zhang
DAC
2011
ACM
14 years 6 months ago
Modeling adaptive streaming applications with parameterized polyhedral process networks
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
Jiali Teddy Zhai, Hristo Nikolov, Todor Stefanov
EMNLP
2011
14 years 6 months ago
Compositional Matrix-Space Models for Sentiment Analysis
We present a general learning-based approach for phrase-level sentiment analysis that adopts an ordinal sentiment scale and is explicitly compositional in nature. Thus, we can mod...
Ainur Yessenalina, Claire Cardie
ISORC
2000
IEEE
15 years 10 months ago
Verification of UML-Based Real-Time System Designs by Means of cTLA
The Unified Modeling Language UML is well-suited for the design of real-time systems. In particular, the design of dynamic system behaviors is supported by interaction diagrams an...
Günter Graw, Peter Herrmann, Heiko Krumm