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CVPR
2009
IEEE
15 years 3 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
BMCBI
2006
120views more  BMCBI 2006»
13 years 8 months ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu
MICRO
2007
IEEE
79views Hardware» more  MICRO 2007»
14 years 2 months ago
Self-calibrating Online Wearout Detection
Technology scaling, characterized by decreasing feature size, thinning gate oxide, and non-ideal voltage scaling, will become a major hindrance to microprocessor reliability in fu...
Jason A. Blome, Shuguang Feng, Shantanu Gupta, Sco...
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 8 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
IJCSA
2007
100views more  IJCSA 2007»
13 years 8 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani