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TempSAL - Uncovering Temporal Information for Deep Saliency Prediction

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Repetition of environmental sounds, like their visual counterparts, can facilitate behavior and modulate neural responses, exemplifying plasticity in how auditory objects are represented or accessed. It remains controversial whether such repetition priming ...

2009

Semantic coding by supervised dimensionality reduction

Pascal Frossard, Effrosyni Kokiopoulou

This paper addresses the problem of representing multimedia information under a compressed form that permits efficient classification. The semantic coding problem starts from a subspace method where dimensionality reduction is formulated as a matrix factor ...

2008

The response of cortical neurons to in vivo-like input current: theory and experiment

Michele Giugliano, Walter Senn

The study of several aspects of the collective dynamics of interacting neurons can be highly simplified if one assumes that the statistics of the synaptic input is the same for a large population of similarly behaving neurons (mean field approach). In part ...

2008

Motion Integration in Visual Attention Models for Predicting Simple Dynamic Scenes

Heinz Hügli, Alexandre Bur

Visual attention models mimic the ability of a visual system, to detect potentially relevant parts of a scene. This process of attentional selection is a prerequisite for higher level tasks such as object recognition. Given the high relevance of temporal a ...

2007

Effective opportunistic search in visual interfaces for large information collections, such as documents, Web pages, and annotated images, often requires domain knowledge that the information seeker does not have. Relevant semantic information, such as met ...

Springer - Verlag2003

In human perception, the availability of context enhances recognition and renders it more robust to noise. Even if not all phonemes in a word (or words in a sentence etc.) are correctly perceived, humans can fill in missing parts with the help of cues from ...

IDIAP2001

Error Correcting Posterior Combination for Robust Multi-Band Speech Recognition

Hervé Bourlard, Astrid Hagen

2001