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IFIPTCS
2000
14 years 26 days ago
Hierarchical State Machines
Hierarchical state machines are finite state machines whose states themselves can be other machines. In spite of their popularity in many modeling tools for software design, very l...
Mihalis Yannakakis
EMNLP
2010
13 years 7 months ago
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...
Ioannis P. Klapaftis, Suresh Manandhar
ICDM
2009
IEEE
184views Data Mining» more  ICDM 2009»
13 years 7 months ago
Improved Multi Label Classification in Hierarchical Taxonomies
Hierarchical taxonomies are used to organize and retrieve information in many domains, especially those dealing with large and rapidly growing amounts of information. In many of t...
Kunal Punera, Suju Rajan
SCVMA
2004
Springer
14 years 2 months ago
Motion Detection Using Wavelet Analysis and Hierarchical Markov Models
This paper deals with the motion detection problem. This issue is of key importance in many application fields. To solve this problem, we compute the dominant motion in the sequen...
Cédric Demonceaux, Djemâa Kachi-Akkou...
NPL
2006
90views more  NPL 2006»
13 years 9 months ago
Hierarchical Incremental Class Learning with Reduced Pattern Training
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun