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ML
2010
ACM
193views Machine Learning» more  ML 2010»
13 years 4 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
TOG
2010
156views more  TOG 2010»
13 years 4 months ago
Style-content separation by anisotropic part scales
We perform co-analysis of a set of man-made 3D objects to allow the creation of novel instances derived from the set. We analyze the objects at the part level and treat the anisot...
Kai Xu 0004, Honghua Li, Hao Zhang 0002, Daniel Co...
ICDAR
2011
IEEE
12 years 9 months ago
Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japane
—This paper describes effective object function design for combining on-line and off-line character recognizers for on-line handwritten Japanese text recognition. We combine on-l...
Bilan Zhu, Jinfeng Gao, Masaki Nakagawa
ACL
2012
12 years 23 hour ago
Aspect Extraction through Semi-Supervised Modeling
Aspect extraction is a central problem in sentiment analysis. Current methods either extract aspects without categorizing them, or extract and categorize them using unsupervised t...
Arjun Mukherjee, Bing Liu 0001
PDP
2006
IEEE
14 years 3 months ago
Comparing Commodity SMP System Software with a Matrix Multiplication Benchmark
Commodity symmetric multiprocessors (SMPs), though originally intended for transaction processing, because of their availability, are now used for numerical analysis applications ...
Georgios Tsilikas, Martin Fleury