For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Many organizations are in the process of replacing legacy systems with large, integrated systems using new technological platforms. Accurate estimation of project resources requir...
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
Active participation of a person in a community is a powerful indicator of the person's interests, preferences, beliefs and (often) social and demographic context. Community m...