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» Cosparse analysis modeling - uniqueness and algorithms
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CSL
2004
Springer
15 years 6 months ago
Factor analysed hidden Markov models for speech recognition
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
Antti-Veikko I. Rosti, M. J. F. Gales
NIPS
2007
15 years 7 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
CASCON
2001
148views Education» more  CASCON 2001»
15 years 7 months ago
A Pareto model for OLAP view size estimation
On Line Analytical Processing (OLAP) aims at gaining useful information quickly from large amounts of data residing in a data warehouse. To improve the quickness of response to qu...
Thomas P. Nadeau, Toby J. Teorey
ECIR
2008
Springer
15 years 7 months ago
Semi-supervised Document Classification with a Mislabeling Error Model
Abstract. This paper investigates a new extension of the Probabilistic Latent Semantic Analysis (PLSA) model [6] for text classification where the training set is partially labeled...
Anastasia Krithara, Massih-Reza Amini, Jean-Michel...
SMA
2008
ACM
110views Solid Modeling» more  SMA 2008»
15 years 6 months ago
Probabilistic model of triangulation
This paper analyses the probability that randomly deployed sensor nodes triangulate any point within the target area. Its major result is the probability of triangulation for any p...
Xiaoyun Li, David K. Hunter