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CVPR
2006
IEEE
16 years 12 days ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
AAAI
2000
15 years 7 months ago
What Sensing Tells Us: Towards a Formal Theory of Testing for Dynamical Systems
Just as actions can have indirect effects on the state of the world, so too can sensing actions have indirect effects on an agent's state of knowledge. In this paper, we inve...
Sheila A. McIlraith, Richard B. Scherl
SIGSOFT
2004
ACM
16 years 7 months ago
Implementing protocols via declarative event patterns
This paper introduces declarative event patterns (DEPs) as a means to implement protocols while improving their traceability, comprehensibility, and maintainability. DEPs are desc...
Robert J. Walker, Kevin Viggers
KDD
2006
ACM
228views Data Mining» more  KDD 2006»
16 years 6 months ago
Algorithms for time series knowledge mining
Temporal patterns composed of symbolic intervals are commonly formulated with Allen's interval relations originating in temporal reasoning. This representation has severe dis...
Fabian Mörchen
KDD
2004
ACM
182views Data Mining» more  KDD 2004»
16 years 6 months ago
Rotation invariant distance measures for trajectories
For the discovery of similar patterns in 1D time-series, it is very typical to perform a normalization of the data (for example a transformation so that the data follow a zero mea...
Michail Vlachos, Dimitrios Gunopulos, Gautam Das