We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
Human-nameable visual “attributes” can benefit various recognition tasks. However, existing techniques restrict these properties to categorical labels (for example, a person ...
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Abstract—Memetics is a new science that has attracted increasing attentions in the recent decades. Beyond the formalism of simple hybrids, adaptive hybrids and memetic algorithms...
Transportation specialists, urban planners, and public health officials have
been steadfast in encouraging active modes of transportation over the past decades.
Conventional thin...
Kevin J. Krizek, Ahmed El-Geneidy, Kristin Thompso...