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» The Computational Structure of Progress Conditions
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ICPR
2002
IEEE
15 years 9 months ago
Segmentation of Vector Fields by Critical Point Analysis: Application to Brain Deformation
MRI examinations may be used to monitor the progress of neurological disease. Arising structural changes can then be quantified using non-rigid registration procedures. However, ...
Gert Wollny, Marc Tittgemeyer, Frithjof Kruggel
ICCV
2005
IEEE
15 years 10 months ago
Integrating the Effects of Motion, Illumination and Structure in Video Sequences
Most work in computer vision has concentrated on studying the individual effects of motion and illumination on a 3D object. In this paper, we present a theory for combining the ef...
Yilei Xu, Amit K. Roy Chowdhury
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 1 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
AMAI
1999
Springer
15 years 4 months ago
STCSP - Structured Temporal Constraint satisfaction Problems
Temporal Constraint Satisfaction Problems (TCSP) is a well known approach for representing and processing temporal knowledge. Important properties of the knowledge can be inferred...
Mira Balaban, Tzachi Rosen
ACS
2010
15 years 4 months ago
Sheaves as Modules
We explain the precise relationship between two module-theoretic descriptions of sheaves on an involutive quantale, namely the description via so-called Hilbert structures on modu...
Pedro Resende, Elias Rodrigues