We consider a model for which it is important, early in processing, to estimate some variables with high precision, but perhaps at relatively low recall. If some variables can be ...
Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. L...
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
This paper presents a new stereo matching algorithm based on inter-regional cooperative optimization. The proposed algorithm uses regions as matching primitives and defines the co...
Traditional volume visualization techniques may provide incomplete clinical information needed for many applications in medical visualization. Especially in the area of vascular v...
Armin Kanitsar, Dominik Fleischmann, Eduard Gr&oum...
We present a region-based active contour detection algorithm
for objects that exhibit relatively homogeneous photometric
characteristics (e.g. smooth color or gray levels),
embe...
Ganesh Sundaramoorthi, Stefano Soatto, Anthony Yez...