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Publications associées (63)

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Review and critical analysis of early-design phase evaluation metrics for the solar potential of neighborhood designs

Marilyne Andersen, Émilie Nault, Giuseppe Peronato

The energy performance of a building is strongly influenced by its level of solar exposure, in turn affected by the climate, built context, and building morphological characteristics. Since these are typically fixed at the early- design phase, performance ...

2015

A distance measure for colored curves

Seyed Mohsen Moosavi Dezfooli

In some computer vision applications, matching between shapes and colors are required. There are lots of similarity measures for shapes, especially curves, but as far as we know there are not many that deal with shapes and colors at the same time. In this ...

2015

Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity

Devis Tuia, Zeyu Zhang

A semisupervised kernel deformation function, including spatial similarity, is proposed for the classification of remote sensing (RS) images. The method exploits the characteristic of these images, in which spatially nearby points are likely to belong to t ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Free-Viewpoint Video Sequences: a New Challenge for Objective Quality Metrics

Touradj Ebrahimi, Philippe Hanhart

Free-viewpoint television is expected to create a more natural and interactive viewing experience by providing the ability to interactively change the viewpoint to enjoy a 3D scene. To render new virtual viewpoints, free-viewpoint systems rely on view synt ...

2014

Metric Learning with Rank and Sparsity Constraints

Volkan Cevher, Baran Gözcü, Bubacarr Bah

Choosing a distance preserving measure or metric is fun- damental to many signal processing algorithms, such as k- means, nearest neighbor searches, hashing, and compressive sensing. In virtually all these applications, the efficiency of the signal process ...

Ieee2014

Similarity Learning Over Large Collaborative Networks

Majid Yazdani

In this thesis, we propose novel solutions to similarity learning problems on collaborative networks. Similarity learning is essential for modeling and predicting the evolution of collaborative networks. In addition, similarity learning is used to perform ...

EPFL2013

On the Need for Secure Distance-Bounding

Serge Vaudenay, Aikaterini Mitrokotsa

Distance-bounding is a practical solution to prevent relay attacks. Yet, security models are not well-established. We will briefly show recent techniques that expose serious distance-frauds, mafia-frauds, and/or terrorist-frauds on distance-bounding protoc ...

2013

Adaptive Relevance Feedback for Large-scale Image Retrieval

Nicolae Suditu

Our research addresses the need for an efficient, effective, and interactive access to large-scale image collections. Image retrieval needs are evolving beyond the capabilities of the traditional indexing based on manual annotation, and the most desirable ...

EPFL2013

LDAHash: Improved Matching with Smaller Descriptors

Pascal Fua, Christoph Strecha

SIFT-like local feature descriptors are ubiquitously employed in computer vision applications such as content-based retrieval, video analysis, copy detection, object recognition, photo tourism, and 3D reconstruction. Feature descriptors can be designed to ...

Institute of Electrical and Electronics Engineers2012

Face detection using boosted Jaccard distance-based regression

Sébastien Marcel, Cosmin Atanasoaei

This paper presents a new face detection method. We train a model that predicts the Jaccard distance between a sample sub-window and the ground truth face location. This model produces continuous outputs as opposite to the binary output produced by the wid ...

Idiap2012