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» Simplifying Mixture Models Using the Unscented Transform
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CVPR
2009
IEEE
15 years 2 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
BMCBI
2004
134views more  BMCBI 2004»
13 years 7 months ago
Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE)
Background: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature ...
Ricardo Z. N. Vêncio, Helena Brentani, Diogo...
NIPS
2004
13 years 9 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
CAISE
2009
Springer
13 years 11 months ago
Defining and Using Schematic Correspondences for Automatically Generating Schema Mappings
Mapping specification has been recognised as a critical bottleneck to the large scale deployment of data integration systems. A mapping is a description using which data structured...
Lu Mao, Khalid Belhajjame, Norman W. Paton, Alvaro...
VIROLOGY
2008
121views more  VIROLOGY 2008»
13 years 7 months ago
Constructing malware normalizers using term rewriting
A malware mutation engine is able to transform a malicious program to create a different version of the program. Such mutation engines are used at distribution sites or in self-pro...
Andrew Walenstein, Rachit Mathur, Mohamed R. Chouc...