Connectionists: BigVision 2014: Big Data Meets Computer Vision

[Alex Berg]

https://sites.google.com/site/bigvision2014cvpr/

The goal of this workshop is providing a venue for researchers interested
in large-scale vision to present new work, exchange ideas, and build
connections. The workshop will feature keynotes and invited talks from
prominent researchers as well as a poster session that fosters in depth
discussion.


We invite submissions of extended abstracts related to the following topics
in the context of big data and large-scale vision:


Indexing algorithms and data structures

Weakly supervised or unsupervised learning

Never ending / continuous learning

Metric learning

Visual models and feature representations

Transfer learning and domain adaptation

Systems and infrastructure

Visual data mining and knowledge discovery

Dataset issues (e.g. dataset collection and dataset biases)

Efficient learning and inference techniques

Optimization techniques


The abstracts should be no more than 2 pages in CVPR 2014 format. Accepted
abstracts will be presented as posters or oral talks. The workshop is not
intended as a venue for publication and no proceedings will be produced.
All submissions will undergo double-blind reviews. In the case of previous
published work, the review will be single-blind.
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