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CVPR
2006
IEEE
14 years 4 months 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
13 years 11 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
14 years 10 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»
14 years 10 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»
14 years 10 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