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JMLR
2012
13 years 7 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
CVPR
2012
IEEE
13 years 7 months ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
PKC
2012
Springer
219views Cryptology» more  PKC 2012»
13 years 7 months ago
On the Security of Dynamic Group Signatures: Preventing Signature Hijacking
We identify a potential weakness in the standard security model for dynamic group signatures which appears to have been overlooked previously. More specifically, we highlight tha...
Yusuke Sakai, Jacob C. N. Schuldt, Keita Emura, Go...
BPM
2006
Springer
113views Business» more  BPM 2006»
15 years 8 months ago
Process Equivalence: Comparing Two Process Models Based on Observed Behavior
In various application domains there is a desire to compare process models, e.g., to relate an organization-specific process model to a reference model, to find a web service match...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
WSC
2007
15 years 7 months ago
Fundamentals of simulation modeling
We start with basic terminology and concepts of modeling, and decompose the art of modeling as a process. This overview of the process helps clarify when we should or should not u...
Paul J. Sánchez