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IJCAI
1997
15 years 1 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
PAMI
2010
207views more  PAMI 2010»
14 years 6 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf
DAC
2011
ACM
13 years 11 months ago
Customer-aware task allocation and scheduling for multi-mode MPSoCs
Today’s multiprocessor system-on-a-chip (MPSoC) products typically have multiple execution modes, and for each mode, all the products utilize the same task allocation and schedu...
Lin Huang, Rong Ye, Qiang Xu
SDM
2012
SIAM
238views Data Mining» more  SDM 2012»
13 years 2 months ago
Evaluating Event Credibility on Twitter
Though Twitter acts as a realtime news source with people acting as sensors and sending event updates from all over the world, rumors spread via Twitter have been noted to cause c...
Manish Gupta, Peixiang Zhao, Jiawei Han
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 3 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing