Publications related to Feature selection

treeKL: A distance between high dimension empirical distributions

This paper offers a methodological contribution for computing the distance between two empirical distributions in an Euclidean space of very large dimension. We propose to use decision trees instead of relying on standard quantification of the feature spac ...

Elsevier Science Bv2013

Detection of Floods In Sar Images with Non-Linear Kernel Clustering and Topographic Prior

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud

After a major flood catastrophe, a precious information is the delineation of the affected areas. Remote sensing imagery, especially synthetic aperture radar, allows to obtain a global and complete view of the situation. However, the detection of the flood ...

2013

Total energy estimation model for remote laser welding process

Ian Anthony Stroud, Jumyung Um

The issues in the energy-efficiency process have much interest in the automotive industry. The energy criteria are also important in machine selection as well as productivity when new equipment is introduced on a shop floor. Remote laser welding having ben ...

Elsevier Science Bv2013

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Volkan Cevher, Anastasios Kyrillidis

The convex

\ell_1

-regularized

\log\det

divergence criterion has been shown to produce theoretically consistent graph learning. However, this objective function is challenging since the

\ell_1

-regularization is nonsmooth, the

\log\det

objective is n ...

2013

Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

Volkan Cevher, Anastasios Kyrillidis

The convex l(1)-regularized log det divergence criterion has been shown to produce theoretically consistent graph learning. However, this objective function is challenging since the l(1)-regularization is nonsmooth, the log det objective is not globally Li ...

IEEE2013

A Track Creation and Deletion Framework for Long-Term Online Multi-Face Tracking

Jean-Marc Odobez

To improve visual tracking, a large number of papers study more powerful features, or better cue fusion mechanisms, such as adaptation or contextual models. A complementary approach consists of improving the track management, that is, deciding when to add ...

2013

Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP

Anil Yuce

Automatic facial expression analysis promises to be a game- changer in many application areas. But before this promise can be fulfilled, it has to move from the laboratory into the wild. The Emotion Recognition in the Wild challenge pro- vides an opportuni ...

2013

The Integration of an RE Method and AHP: A Pilot Study in a Large Swiss Bank

Gil Regev, Alain Wegmann, Arash Golnam, Sofia Kyriakopoulou

This paper reports on a pilot study of the integration between the Systemic Enterprise Architecture Method (SEAM) and the Analytic Hierarchy Process (AHP) in a requirements engineering project. The objective of the project, conducted in one of the major ba ...

IEEE2013

Grapheme and Multilingual Posterior Features for Under-Resourced Speech Recognition: A Study on Scottish Gaelic

Ramya Rasipuram

Standard automatic speech recognition (ASR) systems use phonemes as subword units. Thus, one of the primary resource required to build a good ASR system is a well developed phoneme pronunciation lexicon. However, under-resourced languages typically lack su ...

2013

FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK

Petr Motlicek

In this paper, we investigate employment of discriminatively trained acoustic features modeled by Subspace Gaussian Mixture Models (SGMMs) for Rich Transcription meeting recognition. More specifically, first, we focus on exploiting various types of complex ...

2013

Feature selection

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Chat with Graph Search

treeKL: A distance between high dimension empirical distributions

Detection of Floods In Sar Images with Non-Linear Kernel Clustering and Topographic Prior

Total energy estimation model for remote laser welding process

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

A Track Creation and Deletion Framework for Long-Term Online Multi-Face Tracking

Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP

The Integration of an RE Method and AHP: A Pilot Study in a Large Swiss Bank

Grapheme and Multilingual Posterior Features for Under-Resourced Speech Recognition: A Study on Scottish Gaelic

FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK

Detection of Floods In Sar Images with Non-Linear Kernel Clustering and Topographic Prior

Fast Proximal algorithms for Self-concordant function minimization with application to sparse graph selection

treeKL: A distance between high dimension empirical distributions

Fast Proximal Algorithms For Self-Concordant Function Minimization With Application To Sparse Graph Selection

Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP

Total energy estimation model for remote laser welding process

FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK

The Integration of an RE Method and AHP: A Pilot Study in a Large Swiss Bank

Grapheme and Multilingual Posterior Features for Under-Resourced Speech Recognition: A Study on Scottish Gaelic

A Track Creation and Deletion Framework for Long-Term Online Multi-Face Tracking