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» Models for Incomplete and Probabilistic Information
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WWW
2007
ACM
16 years 6 months ago
Topic sentiment mixture: modeling facets and opinions in weblogs
In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously....
Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, Che...
FLAIRS
2007
15 years 8 months ago
Managing Dynamic Contexts Using Failure-Driven Stochastic Models
We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...
CORR
2006
Springer
104views Education» more  CORR 2006»
15 years 6 months ago
Modeling Adversaries in a Logic for Security Protocol Analysis
Logics for security protocol analysis require the formalization of an adversary model that specifies the capabilities of adversaries. A common model is the Dolev-Yao model, which c...
Joseph Y. Halpern, Riccardo Pucella
DICTA
2008
15 years 7 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
IJCV
2007
146views more  IJCV 2007»
15 years 5 months ago
Statistical Multi-Object Shape Models
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach...
Conglin Lu, Stephen M. Pizer, Sarang C. Joshi, Ja-...