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ICMCS
2006
IEEE
206views Multimedia» more  ICMCS 2006»
14 years 23 days ago
Extracting Story Units in Sports Video Based on Unsupervised Video Scene Clustering
Many sports videos such as archery, diving and tennis have repetitive structure patterns. They are reliable clues to generate highlights, summarization and automatic annotation. I...
Chunxi Liu, Qingming Huang, Shuqiang Jiang, Weigan...
BMCBI
2004
126views more  BMCBI 2004»
13 years 6 months ago
A probabilistic model for the evolution of RNA structure
Background: For the purposes of finding and aligning noncoding RNA gene- and cis-regulatory elements in multiple-genome datasets, it is useful to be able to derive multi-sequence ...
Ian Holmes
ECIR
2010
Springer
13 years 8 months ago
Extracting Multilingual Topics from Unaligned Comparable Corpora
Topic models have been studied extensively in the context of monolingual corpora. Though there are some attempts to mine topical structure from cross-lingual corpora, they require ...
Jagadeesh Jagarlamudi, Hal Daumé III
IJBRA
2008
97views more  IJBRA 2008»
13 years 6 months ago
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model
: A major challenge in text mining for biomedicine is automatically extracting protein-protein interactions from the vast amount of biomedical literature. We have constructed an in...
Deyu Zhou, Yulan He, Chee Keong Kwoh
ECAI
2004
Springer
14 years 3 days ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana