Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleOctober 2013
Pattern-based real-time feedback for a temporal bone simulator
VRST '13: Proceedings of the 19th ACM Symposium on Virtual Reality Software and TechnologyOctober 2013, Pages 7–16https://doi.org/10.1145/2503713.2503728Delivering automated real-time performance feedback in simulated surgical environments is an important and challenging task. We propose a framework based on patterns to evaluate surgical performance and provide feedback during simulated ear (temporal ...
- ArticleSeptember 2011
A framework to mine high-level emerging patterns by attribute-oriented induction
IDEAL'11: Proceedings of the 12th international conference on Intelligent data engineering and automated learningSeptember 2011, Pages 170–177This paper presents a framework to mine summary emerging patterns in contrast to the familiar low-level patterns. Generally, growth rate based on low-level data and simple supports are used to measure emerging patterns (EP) from one dataset to another. ...
- research-articleSeptember 2011
A Pattern Mining Approach to Sensor-Based Human Activity Recognition
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 23, Issue 9September 2011, Pages 1359–1372Recognizing human activities from sensor readings has recently attracted much research interest in pervasive computing due to its potential in many applications, such as assistive living and healthcare. This task is particularly challenging because ...
- ArticleJune 2011
Instantly telling what happens in a video sequence using simple features
CVPR '11: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern RecognitionJune 2011, Pages 3257–3264https://doi.org/10.1109/CVPR.2011.5995377This paper presents an efficient method to tell what happens (e.g. recognize actions) in a video sequence from only a couple of frames in real time. For the sake of instantaneity, we employ two types of computationally efficient but perceptually ...
- articleMarch 2007
Patterns Based Classifiers
World Wide Web (WWWJ), Volume 10, Issue 1March 2007, Pages 71–83https://doi.org/10.1007/s11280-006-0012-7Data mining is one of the most important areas in the 21 century for its applications are wide ranging. This includes medicine, finance, commerce and engineering, to name a few. Pattern mining is amongst the most important and challenging techniques ...
- articleMay 2005
On the complexity of finding emerging patterns
Theoretical Computer Science (TCSC), Volume 335, Issue 120 May 2005, Pages 15–27https://doi.org/10.1016/j.tcs.2004.12.014Emerging patterns have been studied as a useful type of pattern for the diagnosis and understanding of diseases based on the analysis of gene expression profiles. They are useful for capturing interactions among genes (or other biological entities), for ...