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NIPS
2008
15 years 3 months ago
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svet...
CLEF
2010
Springer
15 years 2 months ago
Random Sampling Image to Class Distance for Photo Annotation
Image classification or annotation is proved difficult for the computer algorithms. The Naive-Bayes Nearest Neighbor method is proposed to tackle the problem, and achieved the stat...
Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong...
SMA
2008
ACM
396views Solid Modeling» more  SMA 2008»
15 years 2 months ago
Fast mesh segmentation using random walks
3D mesh models are now widely available for use in various applications. The demand for automatic model analysis and understanding is ever increasing. Mesh segmentation is an impo...
Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin, Paul L. R...
TACAS
2010
Springer
160views Algorithms» more  TACAS 2010»
15 years 9 days ago
Efficient Detection of Errors in Java Components Using Random Environment and Restarts
Software model checkers are being used mostly to discover specific types of errors in the code, since exhaustive verification of complex programs is not possible due to state explo...
Pavel Parizek, Tomás Kalibera
ICIP
2009
IEEE
15 years 5 days ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li