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» A New Discriminative Kernel From Probabilistic Models
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ISSRE
2010
IEEE
14 years 10 months ago
Calibrating Probabilistic GUI Testing Models Based on Experiments and Survival Analysis
—Models abstract reality. Although abstract, such models can capture the essence of real world phenomena as long as they are sufficiently accurate. The development of new techni...
Cristiano Bertolini, Alexandre Mota, Eduardo Aranh...
TKDE
2010
224views more  TKDE 2010»
14 years 10 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
FTCGV
2011
122views more  FTCGV 2011»
14 years 3 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
CVPR
2009
IEEE
16 years 7 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese
PR
2008
145views more  PR 2008»
14 years 11 months ago
Probabilistic suffix models for API sequence analysis of Windows XP applications
Given the pervasive nature of malicious mobile code (viruses, worms, etc.), developing statistical/structural models of code execution is of considerable importance. We investigat...
Geoffrey Mazeroff, Jens Gregor, Michael G. Thomaso...