Publications related to Webster's Dictionary

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Use of Learned Dictionaries in Tomographic Reconstruction

Martin Vetterli, Ivana Jovanovic, Vincent Etter

We study the use and impact of a dictionary in a tomographic reconstruction setup. First, we build two different dictionaries: one using a set of bases functions (Discrete Cosine Transform), and the other that is learned using patches extracted from traini ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2011

Dictionary learning in stereo imaging

Pascal Frossard, Ivana Tosic

This paper presents a new method for learning overcomplete dictionaries adapted to efficient joint representation of stereo images. We first formulate a sparse stereo image model where the multi-view correlation is described by local geometric transforms o ...

Institute of Electrical and Electronics Engineers2011

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

-minimisation. The problem can also be seen as factorising a

\ddim \times \nsig

matrix $Y=(y_1 \ldots y_\nsig), , y_n\in \R^\ ...

Institute of Electrical and Electronics Engineers2010

A union of incoherent spaces model for classification

Pierre Vandergheynst, Karin Schnass

We present a new and computationally efficient scheme for classifying signals into a fixed number of known classes. We model classes as subspaces in which the corresponding data is well represented by a dictionary of features. In order to ensure low miscla ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Ultrasound Tomography with Learned Dictionaries

Martin Vetterli, Pascal Frossard, Ivana Tosic, Ivana Jovanovic

We propose a new method for imaging sound speed in breast tissue from measurements obtained by ultrasound tomography (UST) scan- ners. Given the measurements, our algorithm finds a sparse image representation in an overcomplete dictionary that is adapted t ...

2010

Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques

A generic approach is presented to detect and track people with a network of fixed and omnidirectional cameras given severely degraded foreground silhouettes. The problem is formulated as a sparsity constrained inverse problem. A dictionary made of atoms r ...

2009

Basis Identification from Random Sparse Samples

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

minimisation. The problem is to identify a dictionary

\dico

from a set of training samples

\Y

knowing that

\Y = \dico \X

...

2009

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

-minimisation. The problem can also be seen as factorising a

\ddim \times \nsig

matrix $Y=(y_1 \ldots y_\nsig), , y_n\in \R^\ ...

Institute of Electrical and Electronics Engineers2010

Basis Identification from Random Sparse Samples

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

minimisation. The problem is to identify a dictionary

\dico

from a set of training samples

\Y

knowing that

\Y = \dico \X

...

2009

Webster's Dictionary

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Greedy Dictionary Selection for Sparse Representation

Use of Learned Dictionaries in Tomographic Reconstruction

Dictionary learning in stereo imaging

Deliverable 3.2: Report on Discovering Structure within Dictionary Learning

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

A union of incoherent spaces model for classification

Ultrasound Tomography with Learned Dictionaries

Greedy dictionary selection for sparse representation

Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras

Basis Identification from Random Sparse Samples

Deliverable 3.2: Report on Discovering Structure within Dictionary Learning

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Greedy Dictionary Selection for Sparse Representation

Dictionary learning in stereo imaging

Basis Identification from Random Sparse Samples

Ultrasound Tomography with Learned Dictionaries

A union of incoherent spaces model for classification

Greedy dictionary selection for sparse representation

Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras

Use of Learned Dictionaries in Tomographic Reconstruction