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ECML
2001
Springer
14 years 9 days ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
ICDAR
2007
IEEE
14 years 2 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
ICDAR
2009
IEEE
14 years 2 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 8 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
MIR
2005
ACM
133views Multimedia» more  MIR 2005»
14 years 1 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to speciļ¬ed concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard