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PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 10 months ago
A Novel Concept: Message Driven Frequency Hopping (MDFH)
—Frequency hopping systems have been widely used in military communications to prevent hostile jamming, interception and detection. In traditional frequency hopping (FH) systems,...
Qi Ling, Tongtong Li, Zhi Ding
ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
15 years 10 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
ICMCS
2006
IEEE
97views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Fast Progressive Model Refinement Global Motion Estimation Algorithm with Prediction
Global Motion Estimation (GME) is an important part in the object-based applications. In this paper, a fast progressive model refinement (FPMR) GME algorithm is proposed. It can s...
Haifeng Wang, Jia Wang, Qingshan Liu, Hanqing Lu
AAMAS
2002
Springer
15 years 4 months ago
Stochastic Simulation of Inherited Kinship-Driven Altruism
The aim of this research is to assess the r^ole of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-...
Heather Turner, Dimitar Kazakov