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IJCV
2007
196views more  IJCV 2007»
15 years 6 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
160
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CN
2004
109views more  CN 2004»
15 years 6 months ago
Modeling correlations in web traces and implications for designing replacement policies
A number of web cache-related algorithms, such as replacement and prefetching policies, rely on specific characteristics present in the sequence of requests for efficient performa...
Konstantinos Psounis, An Zhu, Balaji Prabhakar, Ra...
DCOSS
2011
Springer
14 years 6 months ago
Compiling business process models for sensor networks
—Wireless sensor networks are increasingly being used to improve business processes. The behavior of such a process is usually captured in models while its implementation is typi...
Alexandra Caracas, Alexander Bernauer
CVPR
2009
IEEE
17 years 1 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
EDOC
2008
IEEE
16 years 1 months ago
MDD4SOA: Model-Driven Service Orchestration
Service-Oriented Architectures (SOAs) have become an important cornerstone of the development of enterprise-scale software applications. Although a range of domain-specific langua...
Philip Mayer, Andreas Schroeder, Nora Koch