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» Temporal Templates and Analysis of Time Related Data
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FQAS
2004
Springer
146views Database» more  FQAS 2004»
15 years 10 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina
ICMCS
2005
IEEE
183views Multimedia» more  ICMCS 2005»
15 years 12 months ago
Sports Event Recognition Using Layered HMMS
The recognition of events in video data is a subject of much current interest. In this paper, we address several issues related to this topic. The first one is overfitting when ...
Mark Barnard, Jean-Marc Odobez
BMCBI
2008
136views more  BMCBI 2008»
15 years 6 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
SIGMOD
2008
ACM
236views Database» more  SIGMOD 2008»
16 years 6 months ago
Approximate embedding-based subsequence matching of time series
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Vassilis Athitsos, Panagiotis Papapetrou, Michalis...
ICDCSW
2002
IEEE
15 years 11 months ago
Quantifying Effect of Network Latency and Clock Drift on Time-Driven Key Sequencing
Time-driven Key Sequencing (TKS) is a key management technique that synchronizes the session key used by a set of communicating principals based on time of day. This relatively lo...
Geoffrey G. Xie, Cynthia E. Irvine, Timothy E. Lev...