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PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
16 years 7 days ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
NAA
2004
Springer
178views Mathematics» more  NAA 2004»
16 years 3 days ago
Performance Optimization and Evaluation for Linear Codes
In this paper, we develop a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrice...
Pavel Tvrdík, Ivan Simecek
PERCOM
2003
ACM
16 years 1 days ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
ISMIR
2001
Springer
262views Music» more  ISMIR 2001»
15 years 11 months ago
Automated Rhythm Transcription
We present a technique that, given a sequence of musical note onset times, performs simultaneous identi cation of the notated rhythm and the variable tempo associated with the tim...
Christopher Raphael
PODS
1993
ACM
122views Database» more  PODS 1993»
15 years 10 months ago
Towards an Analysis of Range Query Performance in Spatial Data Structures
In this paper, we motivate four di erent user de ned window query classes and derive a probabilistic model for each of them. For each model, we characterize the e ciency of spatia...
Bernd-Uwe Pagel, Hans-Werner Six, Heinrich Toben, ...