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IMCSIT
2010
14 years 8 months ago
Hierarchical Object Categorization with Automatic Feature Selection
In this paper, we have introduced a hierarchical object categorization method with automatic feature selection. A hierarchy obtained by natural similarities and properties is learn...
Md. Saiful Islam, Andrzej Sluzek
AIED
2011
Springer
14 years 5 months ago
SMART: Speech-enabled Mobile Assisted Reading Technology for Word Comprehension
In this study, we designed and developed two educational games on mobile phones with support for speech-recognition to examine and train the cognitive underpinnings of word reading...
Anuj Kumar, Pooja Reddy, Matthew Kam
CVPR
2012
IEEE
13 years 4 months ago
Learning hierarchical similarity metrics
Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...
Nakul Verma, Dhruv Mahajan, Sundararajan Sellamani...
122
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ICANN
2009
Springer
15 years 6 months ago
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
Matthias Höffken, Daniel Oberhoff, Marina Kol...
PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu