The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
- Developments in CS1 pedagogy seek to improve the capabilities of students in their understanding of how to write programs. This involves learning how to solve various types of pr...
We propose a unified and simple approach for capturing and recreating 3D sound fields by exploring the reciprocity principle that is satisfied between the two processes. Our appro...
Abstract. A successful approach to tracking is to on-line learn discriminative classifiers for the target objects. Although these trackingby-detection approaches are usually fast a...
Christian Leistner, Martin Godec, Amir Saffari, Ho...
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...