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CVPR
2009
IEEE
15 years 4 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
14 years 10 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
IUI
2010
ACM
14 years 6 months ago
An adaptive calendar assistant using pattern mining for user preference modelling
In this paper, we present SmartCal, a calendar assistant that suggests appointment attributes, such as time, day, duration, etc., given any combination of initial user input attri...
Alfred Krzywicki, Wayne Wobcke, Anna Wong
ICS
2009
Tsinghua U.
14 years 4 months ago
/scratch as a cache: rethinking HPC center scratch storage
To sustain emerging data-intensive scientific applications, High Performance Computing (HPC) centers invest a notable fraction of their operating budget on a specialized fast sto...
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhk...
JSSPP
2009
Springer
14 years 4 months ago
Modeling Parallel System Workloads with Temporal Locality
In parallel systems, similar jobs tend to arrive within bursty periods. This fact leads to the existence of the locality phenomenon, a persistent similarity between nearby jobs, in...
Tran Ngoc Minh, Lex Wolters