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ICML
2008
IEEE
14 years 9 months ago
Adaptive p-posterior mixture-model kernels for multiple instance learning
In multiple instance learning (MIL), how the instances determine the bag-labels is an essential issue, both algorithmically and intrinsically. In this paper, we show that the mech...
Hua-Yan Wang, Qiang Yang, Hongbin Zha
SODA
2008
ACM
128views Algorithms» more  SODA 2008»
13 years 10 months ago
Analysis of greedy approximations with nonsubmodular potential functions
In this paper, we present two techniques to analyze greedy approximation with nonsubmodular functions restricted submodularity and shifted submodularity. As an application of the ...
Ding-Zhu Du, Ronald L. Graham, Panos M. Pardalos, ...
EUC
2004
Springer
14 years 2 months ago
Construction of Distributed Object Group Framework and Its Execution Analysis Using Distributed Application Simulation
The Distributed Object Group Framework(DOGF) we constructed supports the grouping of distributed objects that are required for distributed application. From the DOGF, we manage dis...
Chang-Sun Shin, Chang-Won Jeong, Su-Chong Joo
GM
1999
Springer
14 years 28 days ago
Data-Dependent Triangulation in the Plane with Adaptive Knot Placement
In many applications one is concerned with the approximation of functions from a finite set of scattered data sites with associated function values. We describe a scheme for cons...
René Schätzl, Hans Hagen, James C. Bar...
JCS
2011
72views more  JCS 2011»
13 years 3 months ago
Automatically deriving information-theoretic bounds for adaptive side-channel attacks
We present a model of adaptive attacks which we combine with information-theoretic metrics to quantify the information revealed to an adaptive adversary. This enables us to expres...
Boris Köpf, David A. Basin