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» Activity Modeling Using Event Probability Sequences
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PERVASIVE
2006
Springer
13 years 7 months ago
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai...
ICCV
2007
IEEE
14 years 9 months ago
What, where and who? Classifying events by scene and object recognition
We propose a first attempt to classify events in static images by integrating scene and object categorizations. We define an event in a static image as a human activity taking pla...
Li-Jia Li, Fei-Fei Li 0002
BMCBI
2008
100views more  BMCBI 2008»
13 years 7 months ago
Extracting transcription factor binding sites from unaligned gene sequences with statistical models
Background: Transcription factor binding sites (TFBSs) are crucial in the regulation of gene transcription. Recently, chromatin immunoprecipitation followed by cDNA microarray hyb...
Chung-Chin Lu, Wei-Hao Yuan, Te-Ming Chen
TSE
2011
180views more  TSE 2011»
13 years 2 months ago
Developing a Single Model and Test Prioritization Strategies for Event-Driven Software
—Event-Driven Software (EDS) can change state based on incoming events; common examples are GUI and web applications. These EDS pose a challenge to testing because there are a la...
Renée C. Bryce, Sreedevi Sampath, Atif M. M...
ICML
2000
IEEE
14 years 8 months ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom