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» On the Complexity of Error Explanation
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ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 6 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
TIT
1998
69views more  TIT 1998»
15 years 6 months ago
Relationships Between the Constant Modulus and Wiener Receivers
— The Godard or the constant modulus algorithm (CMA) is an effective technique for blind receiver design in communications. However, due to the complexity of the Constant Modulus...
Hanks H. Zeng, Lang Tong, C. Richard Johnson Jr.
TASLP
2002
93views more  TASLP 2002»
15 years 6 months ago
Robust endpoint detection and energy normalization for real-time speech and speaker recognition
When automatic speech recognition (ASR) and speaker verification (SV) are applied in adverse acoustic environments, endpoint detection and energy normalization can be crucial to th...
Qi Li, Jinsong Zheng, A. Tsai, Qiru Zhou
TCSV
2002
107views more  TCSV 2002»
15 years 6 months ago
Subband-adaptive turbo-coded OFDM-based interactive video telephony
A range of adaptive orthogonal frequency division multiplex (AOFDM) video systems are proposed for interactive communications over wireless channels. The proposed constant target b...
Peter J. Cherriman, Thomas Keller 0002, Lajos Hanz...
TMM
2002
83views more  TMM 2002»
15 years 6 months ago
Systematic evaluation of logical story unit segmentation
Abstract--Although various Logical Story Unit (LSU) segmentation methods based on visual content have been presented in literature, a common ground for comparison is missing. We pr...
Jeroen Vendrig, Marcel Worring