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IPCV
2008
13 years 10 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop
PARMA
2004
114views Database» more  PARMA 2004»
13 years 10 months ago
PatManQL: A Language to Manipulate Patterns and Data in Hierarchical Catalogs
Hierarchical structures and catalogs is a way to organize and enrich semantically the available information in the Web. From simple tree-like structures with syntactic constraints ...
Panagiotis Bouros, Theodore Dalamagas, Timos K. Se...
RECOMB
2010
Springer
14 years 3 months ago
Hierarchical Generative Biclustering for MicroRNA Expression Analysis
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...
José Caldas, Samuel Kaski
ACCV
2007
Springer
14 years 3 months ago
Hierarchical Learning of Dominant Constellations for Object Class Recognition
Abstract. The importance of spatial configuration information for object class recognition is widely recognized. Single isolated local appearance codes are often ambiguous. On the...
Nathan Mekuz, John K. Tsotsos
MLMI
2005
Springer
14 years 2 months ago
Hierarchical Multi-stream Posterior Based Speech Recognition System
Abstract. In this paper, we present initial results towards boosting posterior based speech recognition systems by estimating more informative posteriors using multiple streams of ...
Hamed Ketabdar, Hervé Bourlard, Samy Bengio