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    ICASSP
    2009
    IEEE
    122views Signal Processing» more  ICASSP 2009»
    Acoustic compensation methods for body transmitted speech conversion
    14 years 1 months ago
    Acoustic compensation methods for body transmitted speech conversion
    Download  spalab.naist.jp
    Statistical voice conversion is very effective for enhancing body transmitted speech recorded with Non-Audible Murmur (NAM) microphone. In this method, a probabilistic model to co...
    Daisuke Miyamoto, Keigo Nakamura, Tomoki Toda, Hir...
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    FLAIRS
    2007
    88views Artificial Intelligence» more  FLAIRS 2007»
    Using Phrasal Verbs as an Index to Distinguish Text Genres
    13 years 11 months ago
    Using Phrasal Verbs as an Index to Distinguish Text Genres
    Download  csep.psyc.memphis.edu
    Previous studies have shown that text genres can be computationally distinguished by sophisticated computational and statistical methods. The current study adds to the previous bo...
    Kyle B. Dempsey, Philip M. McCarthy, Danielle S. M...
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    SSWMC
    2004
    134views Security Privacy» more  SSWMC 2004»
    On estimation of secret message length in LSB steganography in spatial domain
    13 years 10 months ago
    On estimation of secret message length in LSB steganography in spatial domain
    Download  www.ws.binghamton.edu
    In this paper, we present a new method for estimating the secret message length of bit-streams embedded using the Least Significant Bit embedding (LSB) at random pixel positions. ...
    Jessica J. Fridrich, Miroslav Goljan
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    TNN
    2008
    177views more  TNN 2008»
    Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
    13 years 9 months ago
    Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
    Download  www.iro.umontreal.ca
    Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
    Yoshua Bengio, Jean-Sébastien Senecal
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    SIGKDD
    2002
    93views more  SIGKDD 2002»
    Randomization in Privacy-Preserving Data Mining
    13 years 9 months ago
    Randomization in Privacy-Preserving Data Mining
    Download  www.cs.cornell.edu
    Suppose there are many clients, each having some personal information, and one server, which is interested only in aggregate, statistically significant, properties of this informa...
    Alexandre V. Evfimievski
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