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» Estimating Missing Data in Data Streams
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SPEECH
2010
136views more  SPEECH 2010»
13 years 8 months ago
Robust speech recognition by integrating speech separation and hypothesis testing
Missing data methods attempt to improve robust speech recognition by distinguishing between reliable and unreliable data in the time-frequency domain. Such methods require a binar...
Soundararajan Srinivasan, DeLiang L. Wang
CSFW
1996
IEEE
14 years 2 months ago
An Immunological Approach to Change Detection: Theoretical Results
: This paper examines some of the theoretical foundations of the distributable change detection method introduced by Forrest et al. in [10], including fundamental bounds on some of...
Patrik D'haeseleer
NIPS
2003
13 years 11 months ago
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon...
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 4 months ago
Local Correlation Tracking in Time Series
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
CCR
1999
56views more  CCR 1999»
13 years 9 months ago
MPEG transmission schemes for a timed token medium access control network
This paper presents three transmission schemes to improve the transmission of MPEG video over a timed token medium access control (MAC) network. Multiple classes of MPEG video are...
Joseph Kee-Yin Ng