Front Cover: Semi‐supervised pedestrian and face detection via multiple teachers

Stereo-based Pedestrian Detection using Multiple Patterns

Detecting pedestrians from a moving vehicle is a challenging problem since the essence of the task is to search non-rigid moving objects with various appearances in a dynamic and outdoor environment. In order to alleviate these difficulties, we propose a new human detection framework which makes the most use of stereo vision. While the conventional stereo-based detection methods initially gener...

Proceedings Front Cover 8X10

The integrated Rule Oriented Data Management System (iRODS) is a policy-driven data management system that is starting to be used by projects with large data volume requirements that require a highly available system. In this paper we describe an approach to provide a Highly Availability load-balanced iRODS System (HAIRS). We also describe the advantages and disadvantages of the approach and fu...

Outside Front Cover

LUI Front Cover

Non-Monotonic Sentence Alignment via Semisupervised Learning

This paper studies the problem of nonmonotonic sentence alignment, motivated by the observation that coupled sentences in real bitexts do not necessarily occur monotonically, and proposes a semisupervised learning approach based on two assumptions: (1) sentences with high affinity in one language tend to have their counterparts with similar relatedness in the other; and (2) initial alignment is...