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» Incremental Construction of Structured Hidden Markov Models
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BMCBI
2002
108views more  BMCBI 2002»
13 years 10 months ago
A memory-efficient dynamic programming algorithm for optimal alignment of a sequence to an RNA secondary structure
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
Sean R. Eddy
ISMB
2004
14 years 1 days ago
Exploiting conserved structure for faster annotation of non-coding RNAs without loss of accuracy
Motivation: Non-coding RNAs (ncRNAs)--functional RNA molecules not coding for proteins--are grouped into hundreds of families of homologs. To find new members of an ncRNA gene fam...
Zasha Weinberg, Walter L. Ruzzo
TIST
2011
136views more  TIST 2011»
13 years 5 months ago
Probabilistic models for concurrent chatting activity recognition
Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogue...
Jane Yung-jen Hsu, Chia-chun Lian, Wan-rong Jih
ICDE
2000
IEEE
158views Database» more  ICDE 2000»
14 years 12 months ago
The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses
: Many companies have recognized the strategic importance of the knowledge hidden in their large databases and have built data warehouses. Typically, updates are collected and appl...
Hans-Peter Kriegel, Jörn Kohlhammer, Martin E...
ISM
2006
IEEE
187views Multimedia» more  ISM 2006»
14 years 4 months ago
Camera View-Based American Football Video Analysis
We present a top-down statistical modeling approach to explore the semantic structure in the American football video. First, a semantic space is defined where the video semantic ...
Yi Ding, Guoliang Fan