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BMCBI
2007
173views more  BMCBI 2007»
15 years 5 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
ACSAC
2010
IEEE
15 years 2 months ago
Heap Taichi: exploiting memory allocation granularity in heap-spraying attacks
Heap spraying is an attack technique commonly used in hijacking browsers to download and execute malicious code. In this attack, attackers first fill a large portion of the victim...
Yu Ding, Tao Wei, Tielei Wang, Zhenkai Liang, Wei ...
ICCV
2009
IEEE
16 years 10 months ago
A Probabilistic Framework for Partial Intrinsic Symmetries in Geometric Data
In this paper, we present a novel algorithm for partial intrinsic symmetry detection in 3D geometry. Unlike previous work, our algorithm is based on a conceptually simple and st...
Ruxandra Lasowski, Art Tevs, Hans-Peter Seidel, Mi...
CVPR
2004
IEEE
16 years 7 months ago
Robust Subspace Clustering by Combined Use of kNND Metric and SVD Algorithm
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
Qifa Ke, Takeo Kanade
CVPR
2007
IEEE
16 years 7 months ago
Learning Features for Tracking
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
Michael Grabner, Helmut Grabner, Horst Bischof