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ACISP
1997
Springer
14 years 2 months ago
New Lower Bounds on Nonlinearity and a Class of Highly Nonlinear Functions
Abstract. Highly nonlinear Boolean functions occupy an important position in the design of secure block as well as stream ciphers. This paper proves two new lower bounds on the non...
Xian-Mo Zhang, Yuliang Zheng
VLDB
2009
ACM
130views Database» more  VLDB 2009»
14 years 10 months ago
Multi-dimensional top-k dominating queries
Abstract The top-k dominating query returns k data objects which dominate the highest number of objects in a dataset. This query is an important tool for decision support since it ...
Man Lung Yiu, Nikos Mamoulis
ICML
2008
IEEE
14 years 10 months ago
An empirical evaluation of supervised learning in high dimensions
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
Rich Caruana, Nikolaos Karampatziakis, Ainur Yesse...
CVPR
2010
IEEE
14 years 5 months ago
Highly Accurate Boundary Detection and Grouping
In this work we address boundary detection and boundary grouping. We first pursue a learning-based approach to boundary detection. For this (i) we leverage appearance and context...
Iasonas Kokkinos
AMDO
2006
Springer
14 years 1 months ago
Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...
Chan-Su Lee, Ahmed M. Elgammal