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CVPR
2007
IEEE
14 years 4 months ago
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, J...
ASIAN
2006
Springer
98views Algorithms» more  ASIAN 2006»
14 years 1 months ago
Information Hiding in the Join Calculus
Abstract. We aim to provide information hiding support in concurrent object-oriented programming languages. We study the issue both at the object level and class level, in the cont...
Qin Ma 0002, Luc Maranget
DAGM
2006
Springer
14 years 1 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
JSAC
2008
120views more  JSAC 2008»
13 years 10 months ago
Optimal joint probing and transmission strategy for maximizing throughput in wireless systems
Abstract-- In broadcast fading channel, channel variations can be exploited through what is referred to as multiuser diversity and opportunistic scheduling for improving system per...
Prasanna Chaporkar, Alexandre Proutiére
CORR
2011
Springer
145views Education» more  CORR 2011»
13 years 5 months ago
Global Search Based on Efficient Diagonal Partitions and a set of Lipschitz Constants
In the paper, the global optimization problem of a multidimensional “black-box” function satisfying the Lipschitz condition over a hyperinterval with an unknown Lipschitz const...
Yaroslav D. Sergeyev, Dmitri E. Kvasov