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BMCBI
2007
173views more  BMCBI 2007»
13 years 7 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
BMCBI
2004
174views more  BMCBI 2004»
13 years 7 months ago
Implications for domain fusion protein-protein interactions based on structural information
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
Jer-Ming Chia, Prasanna R. Kolatkar
VLDB
2004
ACM
105views Database» more  VLDB 2004»
14 years 1 months ago
Tamper Detection in Audit Logs
Audit logs are considered good practice for business systems, and are required by federal regulations for secure systems, drug approval data, medical information disclosure, fina...
Richard T. Snodgrass, Shilong (Stanley) Yao, Chris...
PCM
2005
Springer
119views Multimedia» more  PCM 2005»
14 years 1 months ago
Haptic Interaction with Depth Video Media
Abstract. In this paper we propose a touch enabled video player system. A conventional video player only allows viewers to passively experience visual and audio media. In virtual e...
Jongeun Cha, Seung Man Kim, Ian Oakley, Jeha Ryu, ...
HRI
2006
ACM
14 years 1 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati