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NECO
2002
104views more  NECO 2002»
14 years 11 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
JUCS
2010
111views more  JUCS 2010»
14 years 10 months ago
Towards a Ubiquitous End-User Programming System for Smart Spaces
: This article presents a rule–based agent mechanism as the kernel of a ubiquitous end–user, UI–independent programming system. The underlying goal of our work is to allow en...
Manuel García-Herranz, Pablo A. Haya, Xavie...
EMNLP
2010
14 years 10 months ago
Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space
We propose an approach to adjective-noun composition (AN) for corpus-based distributional semantics that, building on insights from theoretical linguistics, represents nouns as ve...
Marco Baroni, Roberto Zamparelli
ICIP
2009
IEEE
14 years 9 months ago
Graph-based foreground extraction in extended color space
We propose a region-based method to extract semantic foreground regions from color video sequences with static backgrounds. First, we introduce a new distance measure for backgrou...
Hansung Kim, Adrian Hilton
ICASSP
2011
IEEE
14 years 3 months ago
Fast discriminative speaker verification in the i-vector space
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...
Sandro Cumani, Niko Brümmer, Lukas Burget, Pi...