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» Anomaly Detection Using Visualization and Machine Learning
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FUIN
2006
107views more  FUIN 2006»
14 years 10 months ago
Learning Sunspot Classification
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
Trung Thanh Nguyen, Claire P. Willis, Derek J. Pad...
ICMCS
2008
IEEE
178views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Automatic character identification in feature-length films
This paper presents a novel approach to automatically identify characters in films using audio visual cues and text analysis. The approach consists of three stages: (i) frontal f...
Yifan Zhang, Changsheng Xu, Hanqing Lu
BMCBI
2010
118views more  BMCBI 2010»
14 years 10 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
ICCV
2003
IEEE
15 years 12 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
SIGCSE
2004
ACM
140views Education» more  SIGCSE 2004»
15 years 3 months ago
CS1 assessment using memory diagrams
Understanding the execution of an object-oriented program can be a challenge for a student starting a CS1 course. We believe that a type of diagram that we call a memory diagram c...
Mark A. Holliday, David Luginbuhl