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ASC
2004
14 years 11 months ago
Recognizing environments from action sequences using self-organizing maps
In this paper, we describe development of a mobile robot which does unsupervised learning for recognizing an environment from action sequences. We call this novel recognition appr...
Seiji Yamada
BMCBI
2004
158views more  BMCBI 2004»
14 years 11 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
TACAS
2007
Springer
117views Algorithms» more  TACAS 2007»
15 years 5 months ago
Replaying Play In and Play Out: Synthesis of Design Models from Scenarios by Learning
This paper is concerned with bridging the gap between requirements, provided as a set of scenarios, and conforming design models. The novel aspect of our approach is to exploit lea...
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...
CVPR
2012
IEEE
13 years 1 months ago
Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences
In this paper we address multi-view reconstruction of urban environments using 3D shape grammars. Our formulation expresses the solution to the problem as a shape grammar parse tr...
Loïc Simon, Olivier Teboul, Panagiotis Koutso...
NAR
2011
211views Computer Vision» more  NAR 2011»
14 years 1 months ago
mESAdb: microRNA Expression and Sequence Analysis Database
MicroRNA expression and sequence analysis database (http://konulab.fen.bilkent.edu.tr/mirna/) (mESAdb) is a regularly updated database for the multivariate analysis of sequences a...
Koray D. Kaya, Gökhan Karakülah, Cengiz ...