Sciweavers

CIDM
2007
IEEE
13 years 11 months ago
Analysis of streaming GPS measurements of surface displacement through a web services environment
Abstract— We present a method for performing mode classification of real-time streams of GPS surface position data. Our approach has two parts: an algorithm for robust, unconstr...
Robert Granat, Galip Aydin, Marlon E. Pierce, Zhig...
SBRN
2008
IEEE
13 years 11 months ago
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach
In this work, we propose to use the Zoomed-Ranking approach to ranking and selecting Artificial Neural Network (ANN) models for time series forecasting. Given a time series to fo...
Patrícia M. Santos, Teresa Bernarda Ludermi...
MMM
2008
Springer
158views Multimedia» more  MMM 2008»
13 years 11 months ago
Similarity Search in Multimedia Time Series Data Using Amplitude-Level Features
Effective similarity search in multi-media time series such as video or audio sequences is important for content-based multi-media retrieval applications. We propose a framework th...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
ICTAI
2008
IEEE
13 years 11 months ago
Real-Time Classification of Streaming Sensor Data
The last decade has seen a huge interest in classification of time series. Most of this work assumes that the data resides in main memory and is processed offline. However, recent...
Shashwati Kasetty, Candice Stafford, Gregory P. Wa...
ICASSP
2008
IEEE
13 years 11 months ago
On the synchrony of empirical mode decompositions with application to electroencephalography
A novel approach to measure the interdependence of time series is proposed, based on the alignment (“matching”) of their Huang-Hilbert spectra. The method consists of three st...
Justin Dauwels, Tomasz M. Rutkowski, Franço...
DASFAA
2008
IEEE
190views Database» more  DASFAA 2008»
13 years 11 months ago
Analysis of Time Series Using Compact Model-Based Descriptions
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
DASFAA
2008
IEEE
150views Database» more  DASFAA 2008»
13 years 11 months ago
Approximate Clustering of Time Series Using Compact Model-Based Descriptions
Clustering time series is usually limited by the fact that the length of the time series has a significantly negative influence on the runtime. On the other hand, approximative c...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
CSMR
2008
IEEE
13 years 11 months ago
Trend Analysis and Issue Prediction in Large-Scale Open Source Systems
Effort to evolve and maintain a software system is likely to vary depending on the amount and frequency of change requests. This paper proposes to model change requests as time se...
Bénédicte Kenmei, Giuliano Antoniol,...
CDC
2008
IEEE
141views Control Systems» more  CDC 2008»
13 years 11 months ago
Generalized linear dynamic factor models - a structure theory
— In this paper we present a structure theory for generalized linear dynamic factor models (GDFM’s). Emphasis is laid on the so-called zeroless case. GDFM’s provide a way of ...
Brian D. O. Anderson, Manfred Deistler
AINA
2008
IEEE
13 years 11 months ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh