Publication

Steerable Features for Statistical 3D Dendrite Detection

Publications associées (34)

Smart Imaging and On-Focal-Plane Image Acquisition and Processing in Standard CMOS Technology

Nikola Katic

In recent years, modern imaging sensors and systems have become increasingly complex following the growing demand for high-quality and high-resolution imaging. Commercially available sensors having 30-40 mega-pixel resolutions are common nowadays, while pr ...
EPFL2014

An event-detection high dynamic range CMOS image sensor

Giovanni De Micheli, Sandro Carrara, Yusuf Leblebici, Gözen Köklü

A novel CMOS image sensor is proposed to overcome the analog design limitations in Active Pixel Sensors - APS and large area overcome in Digital Pixel Sensors - DPS for use in bio-medical applications. The design includes a pixel level event generation mec ...
2013

Unsupervised change detection with kernels

Devis Tuia

In this letter, an unsupervised kernel-based approach to change detection is introduced. Nonlinear clustering is utilized to partition in two a selected subset of pixels representing both changed and unchanged areas. Once the optimal clustering is obtained ...
Ieee-Inst Electrical Electronics Engineers Inc2012

Linearly Adjustable International Portfolios

Daniel Kuhn

We present an approach to multi‐stage international portfolio optimization based on the imposition of a linear structure on the recourse decisions. Multiperiod decision problems are traditionally formulated as stochastic programs. Scenario tree based solut ...
American Institute of Physics2010

Steerable Features for Statistical 3D Dendrite Detection

Michaël Unser, Pascal Fua, François Fleuret, François Aguet

Most state-of-the-art algorithms for filament detection in 3-D image-stacks rely on computing the Hessian matrix around individual pixels and labeling these pixels according to its eigenvalues. This approach, while very effective for clean data in which li ...
Springer2009

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.