Publications related to Dictionary

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

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

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

Transliteration among Indian Languages using WX Notation

Pulkit Goyal, Sapan Diwakar, Rohit Gupta

In this paper, we propose an algorithm to transliterate between several Indian languages. The main aim of the algorithm is to assist in the translation process by providing efﬁcient transliteration. This algorithm works on Unicode transformation format of ...

Saarland University Press2010

Greedy dictionary selection for sparse representation

Volkan Cevher

We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse, we mean that only a few dictionary elements, compared to the ambient signal ...

2009

Learning bimodal structure in audio-visual data

Pierre Vandergheynst, Gianluca Monaci

A novel model is presented to learn bimodally informative structures from audio-visual signals. The signal is represented as a sparse sum of audio- visual kernels. Each kernel is a bimodal function consisting of synchronous snippets of an audio waveform an ...

2009

Distributed multi-view image coding with learned dictionaries

Pascal Frossard, Ivana Tosic

This paper addresses the problem of distributed image coding in camera neworks. The correlation between multiple images of a scene captured from different viewpoints can be effiiciently modeled by local geometric transforms of prominent images features. Su ...

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

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

Spread spectrum for imaging techniques in radio interferometry

Pierre Vandergheynst, Yves Wiaux, Gilles Puy

We consider the probe of astrophysical signals through radio interferometers with small field of view and baselines with non-negligible and constant component in the pointing direction. In this context, the visibilities measured essentially identify with a ...

Wiley-Blackwell2009

Spread spectrum for imaging techniques in radio interferometry and strings detection

Yves Wiaux, Gilles Puy

This poster is a summary of recent work published in: Spread spectrum for imaging techniques in radio interferometry, Y. Wiaux, G. Puy, Y. Boursier, and P. Vandergheynst, Mon. Not. R. Astron. Soc., 2009, Preprint arXiv:0907.0944v1. We consider the probe of ...

2009

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

Ultrasound Tomography with Learned Dictionaries

Transliteration among Indian Languages using WX Notation

Greedy dictionary selection for sparse representation

Learning bimodal structure in audio-visual data

Distributed multi-view image coding with learned dictionaries

Basis Identification from Random Sparse Samples

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

Spread spectrum for imaging techniques in radio interferometry

Spread spectrum for imaging techniques in radio interferometry and strings detection

Transliteration among Indian Languages using WX Notation

Learning bimodal structure in audio-visual data

Spread spectrum for imaging techniques in radio interferometry

Ultrasound Tomography with Learned Dictionaries

Greedy dictionary selection for sparse representation

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

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

Spread spectrum for imaging techniques in radio interferometry and strings detection

Distributed multi-view image coding with learned dictionaries

Basis Identification from Random Sparse Samples