Concept

Feature (computer vision)

Publications associées (683)

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OM-2: An Online Multi-class Multi-kernel Learning Algorithm

Barbara Caputo, Jie Luo, Marco Fornoni

Efficient learning from massive amounts of information is a hot topic in computer vision. Available training sets contain many examples with several visual descriptors, a setting in which current batch approaches are typically slow and does not scale well. ...

Idiap2010

OM-2: An Online Multi-class Multi-kernel Learning Algorithm

Barbara Caputo, Jie Luo, Marco Fornoni

2010

Making Action Recognition Robust to Occlusions and Viewpoint Changes

Pascal Fua, Mustafa Özuysal, Daniel Weinland

Most state-of-the-art approaches to action recognition rely on global representations either by concatenating local information in a long descriptor vector or by computing a single location independent histogram. This limits their performance in presence o ...

2010

The Impact of Expertise on Brain Computer Interface Based Salient Image Retrieval

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani

Autonomous decision making modules in computer vision application allow recognition and classification of different objects, persons, and events in images and video sequences and also make it possible to classify different sensor readings (e.g. images) acc ...

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

Bayesian networks as generative models for face recognition

Guillaume Heusch

In this thesis, we address the problem of face modelling by using dedicated statistical generative models, with an application to the face authentication task. Face authentication consists in either accepting or rejecting a user's claim supported by its fa ...

EPFL2010

Stereo Vision Matching using Characteristics Vectors

Jean-Philippe Thiran

Stereo vision is a usual method to obtain depth information from images. The problems encountered when applying the majority of well established algorithms to provide this information are due to the high computational load required. This occurs in both the ...

2010

Tracter: A Lightweight Dataflow Framework

Philip Neil Garner, John David Scott Dines

Tracter is introduced as a dataflow framework particularly useful for speech recognition. It is designed to work on-line in real-time as well as off-line, and is the feature extraction means for the Juicer transducer based decoder. This paper places Tracte ...

2010

Tracter: A Lightweight Dataflow Framework

Philip Neil Garner, John David Scott Dines

Idiap2010

Investigation of feature integration and feature separation by TMS

Michael Herzog, Johannes Rüter

How the brain integrates visual information across time into coherent percepts is an open question. Here, we investigated this integration using a feature fusion paradigm. In feature fusion two stimuli are presented in immediate succession. The stimuli are ...

2010

Feature Selection using Stochastic Search: An Application to System Identification

Ian Smith, Sandro Saitta

System identification using multiple-model strategies may involve thousands of models with several parameters. However, only a few models are close to the correct model. A key task involves finding which parameters are important for explaining candidate mo ...

American Society of Civil Engineers2010