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BMCBI
2006
117views more  BMCBI 2006»
13 years 8 months ago
Gene Designer: a synthetic biology tool for constructing artificial DNA segments
Background: Direct synthesis of genes is rapidly becoming the most efficient way to make functional genetic constructs and enables applications such as codon optimization, RNAi re...
Alan Villalobos, Jon E. Ness, Claes Gustafsson, Je...
BMCBI
2006
137views more  BMCBI 2006»
13 years 8 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
IJCV
2006
121views more  IJCV 2006»
13 years 8 months ago
Feature-Based Sequence-to-Sequence Matching
This paper studies the problem of matching two unsynchronized video sequences of the same dynamic scene, recorded by different stationary uncalibrated video cameras. The matching i...
Yaron Caspi, Denis Simakov, Michal Irani
JAIR
2008
93views more  JAIR 2008»
13 years 8 months ago
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
JMLR
2008
230views more  JMLR 2008»
13 years 8 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...