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» Kernels for Semi-Structured Data
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PAMI
2012
11 years 10 months ago
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
Hanzi Wang, Tat-Jun Chin, David Suter
EUC
2008
Springer
13 years 9 months ago
A Lightweight Detection and Recovery Infrastructure of Kernel Objects for Embedded Systems
The kernel objects consist of critical kernel data structures and system call functions, which are the most important data for a system, should be protected as first-class candida...
Lei Sun, Tatsuo Nakajima
SIGMETRICS
2012
ACM
271views Hardware» more  SIGMETRICS 2012»
11 years 10 months ago
An empirical comparison of Java remote communication primitives for intra-node data transmission
This paper presents a benchmarking suite that measures the performance of using sockets and eXtensible Markup Language remote procedure calls (XML-RPC) to exchange intra-node mess...
Philip F. Burdette, William F. Jones, Brian C. Blo...
SDM
2009
SIAM
127views Data Mining» more  SDM 2009»
14 years 4 months ago
Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery.
Anthony J. Bonner, Martin Renqiang Min, Rui Kuang,...
IJCNN
2007
IEEE
14 years 2 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot