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DAS
2008
Springer
13 years 10 months ago
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation
A robust segmentation is the most important part of an automatic character recognition system (e.g. document processing, license plate recognition etc.). In our contribution we pr...
Erik Rodner, Herbert Süße, Wolfgang Ort...
DRR
2008
13 years 10 months ago
Whole-book recognition using mutual-entropy-driven model adaptation
We describe an approach to unsupervised high-accuracy recognition of the textual contents of an entire book using fully automatic mutual-entropy-based model adaptation. Given imag...
Pingping Xiu, Henry S. Baird
CSL
2010
Springer
13 years 8 months ago
Monaural speech separation based on MAXVQ and CASA for robust speech recognition
Robustness is one of the most important topics for automatic speech recognition (ASR) in practical applications. Monaural speech separation based on computational auditory scene a...
Peng Li, Yong Guan, Shijin Wang, Bo Xu, Wenju Liu
ML
2008
ACM
13 years 8 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
PAMI
2008
135views more  PAMI 2008»
13 years 8 months ago
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm
In this paper, we develop a new effective multiple kernel learning algorithm. First, we map the input data into m different feature spaces by m empirical kernels, where each genera...
Zhe Wang, Songcan Chen, Tingkai Sun