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» Coevolution of pattern generators and recognizers
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ICDAR
2009
IEEE
14 years 7 months ago
Pen Acoustic Emissions for Text and Gesture Recognition
The sounds generated by a writing instrument provide a rich and under-utilized source of information for pattern recognition. We examine the feasibility of recognition of handwrit...
Andrew G. Seniuk, Dorothea Blostein
NIPS
2007
14 years 11 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
79
Voted
FIMI
2004
175views Data Mining» more  FIMI 2004»
14 years 10 months ago
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Yudho Giri Sucahyo, Raj P. Gopalan
ICDAR
2011
IEEE
13 years 9 months ago
Low Resolution QR-Code Recognition by Applying Super-Resolution Using the Property of QR-Codes
—This paper proposes a method for low resolution QR-code recognition. A QR-code is a two-dimensional binary symbol that can embed various information such as characters and numbe...
Yuji Kato, Daisuke Deguchi, Tomokazu Takahashi, Ic...
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 2 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles