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135
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CVPR
2006
IEEE
16 years 5 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
139
Voted
ICPR
2006
IEEE
16 years 4 months ago
Weakly Supervised Learning on Pre-image Problem in Kernel Methods
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
Weishi Zheng, Jian-Huang Lai, Pong Chi Yuen
121
Voted
ICML
2007
IEEE
16 years 4 months ago
Regression on manifolds using kernel dimension reduction
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
Jens Nilsson, Fei Sha, Michael I. Jordan
123
Voted
MODELS
2009
Springer
15 years 10 months ago
Dead or Alive: finding zombie features in the Linux kernel
Variability management in operating systems is an errorprone and tedious task. This is especially true for the Linux operating system, which provides a specialized tool called Kco...
Reinhard Tartler, Julio Sincero, Wolfgang Schr&oum...
108
Voted
CCS
2007
ACM
15 years 10 months ago
Automated detection of persistent kernel control-flow attacks
This paper presents a new approach to dynamically monitoring operating system kernel integrity, based on a property called state-based control-flow integrity (SBCFI). Violations ...
Nick L. Petroni Jr., Michael W. Hicks