Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
We present a new interaction framework for collaborating in multiple display environments (MDEs) and report results from a field study investigating its use in an authentic work s...
Jacob T. Biehl, William T. Baker, Brian P. Bailey,...
A considerable fraction of yeast gene promoters are bound by multiple transcription factors. To study the combinatorial interactions of multiple transcription factors is thus impor...
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
We propose a method that detects and segments multiple, partially occluded objects in images. A part hierarchy is defined for the object class. Whole-object segmentor and part de...