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» Estimating Missing Data in Data Streams
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SIGMETRICS
2008
ACM
214views Hardware» more  SIGMETRICS 2008»
13 years 10 months ago
HMTT: a platform independent full-system memory trace monitoring system
Memory trace analysis is an important technology for architecture research, system software (i.e., OS, compiler) optimization, and application performance improvements. Many appro...
Yungang Bao, Mingyu Chen, Yuan Ruan, Li Liu, Jianp...
ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 8 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
FAST
2004
13 years 11 months ago
Tracefs: A File System to Trace Them All
File system traces have been used for years to analyze user behavior and system software behavior, leading to advances in file system and storage technologies. Existing traces, ho...
Akshat Aranya, Charles P. Wright, Erez Zadok
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 8 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
ICIP
2005
IEEE
14 years 11 months ago
The virtue of patience when scheduling media in presence of feedback
We consider streaming of pre-encoded and packetized media over best-effort networks in presence of acknowledgment feedback. Given an estimation of future transmission resources an...
Christophe De Vleeschouwer, Pascal Frossard