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    ICMCS
    2010
    IEEE
    212views Multimedia» more  ICMCS 2010»
    Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
    15 years 27 days ago
    Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
    Download  www.iis.sinica.edu.tw
    Audio tags describe different types of musical information such as genre, mood, and instrument. This paper aims to automatically annotate audio clips with tags and retrieve releva...
    Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
    14 years 12 months ago
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
    Download  www.biomedcentral.com
    Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
    Zihua Hu, Gail R. Willsky
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    BMCBI
    2007
    115views more  BMCBI 2007»
    Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry
    14 years 12 months ago
    Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry
    Download  www.biomedcentral.com
    Background: Structure elucidation of unknown small molecules by mass spectrometry is a challenge despite advances in instrumentation. The first crucial step is to obtain correct e...
    Tobias Kind, Oliver Fiehn
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    IDA
    2007
    Springer
    101views Information Technology» more  IDA 2007»
    Removing biases in unsupervised learning of sequential patterns
    14 years 11 months ago
    Removing biases in unsupervised learning of sequential patterns
    Download  eprints.pascal-network.org
    Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
    Yoav Horman, Gal A. Kaminka
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    IVC
    2007
    187views more  IVC 2007»
    Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
    14 years 11 months ago
    Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
    Download  www.eecs.qmul.ac.uk
    In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
    Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
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