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PRL
2007
101views more  PRL 2007»
13 years 8 months ago
Accuracy versus speed in context-based object detection
The visual detection and recognition of objects is facilitated by context. This paper studies two types of learning methods for realizing context-based object detection in paintin...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
EMNLP
2010
13 years 6 months ago
The Necessity of Combining Adaptation Methods
Problems stemming from domain adaptation continue to plague the statistical natural language processing community. There has been continuing work trying to find general purpose al...
Ming-Wei Chang, Michael Connor, Dan Roth
ICDM
2009
IEEE
131views Data Mining» more  ICDM 2009»
13 years 6 months ago
Unified Solution to Nonnegative Data Factorization Problems
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the nonnegative orthan...
Xiaobai Liu, Shuicheng Yan, Jun Yan, Hai Jin
TKDE
2011
479views more  TKDE 2011»
13 years 3 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
TASLP
2010
96views more  TASLP 2010»
13 years 3 months ago
Evaluating Source Separation Algorithms With Reverberant Speech
This paper examines the performance of several source separation systems on a speech separation task for which human intelligibility has previously been measured. For anechoic mixt...
Michael I. Mandel, S. Bressler, Barbara G. Shinn-C...