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» Using Data Mining to Estimate Missing Sensor Data
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CSL
2007
Springer
14 years 9 months ago
On noise masking for automatic missing data speech recognition: A survey and discussion
Automatic speech recognition (ASR) has reached very high levels of performance in controlled situations. However, the performance degrades significantly when environmental noise ...
Christophe Cerisara, Sébastien Demange, Jea...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 4 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
ICIP
2000
IEEE
15 years 11 months ago
Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications
We present an estimation-theoretic approach to curve evolution for the Mumford-Shah problem. By viewing an active contour as the set of discontinuities in the Mumford-Shah problem...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
ICA
2012
Springer
13 years 5 months ago
Audio Imputation Using the Non-negative Hidden Markov Model
Abstract. Missing data in corrupted audio recordings poses a challenging problem for audio signal processing. In this paper we present an approach that allows us to estimate missin...
Jinyu Han, Gautham J. Mysore, Bryan Pardo
ICIP
2007
IEEE
15 years 3 months ago
Estimating Missing Features to Improve Multimedia Retrieval
Retrieval in a multimedia database usually involves combining information from different modalities of data, such as text and images. However, all modalities of the data may not b...
Abraham Bagherjeiran, Nicole S. Love, Chandrika Ka...