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» An Introduction to Learning Structured Information
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ICMLA
2009
14 years 7 months ago
A Syllable-Level Probabilistic Framework for Bird Species Identification
In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
Balaji Lakshminarayanan, Raviv Raich, Xiaoli Fern
AAAI
2010
14 years 6 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
TSMC
2011
292views more  TSMC 2011»
14 years 4 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
IUI
2011
ACM
14 years 20 days ago
Predicting and compensating for lexicon access errors
Learning a foreign language is a long, error-prone process, and much of a learner’s time is effectively spent studying vocabulary. Many errors occur because words are only partl...
Lars Yencken, Timothy Baldwin
CIKM
2009
Springer
15 years 4 months ago
MRM: an adaptive framework for XML searching
In order to deal with the diversified nature of XML documents as well as individual user preferences, we propose a novel Multiodel (MRM), which is able to abstract a spectrum of i...
Ho Lam Lau, Wilfred Ng