We consider an active learning game within a transductive learning model. A major problem with many active learning algorithms is that an unreliable current hypothesis can mislead...
Abstract. Methods of adaptive constraint satisfaction have recently become of interest to overcome the limitations imposed on “black-box” search algorithms by the no free lunch...
This paper explores how a ‘learning’ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling’ using incorporated sensors, which woul...
Siddharth Odedra, Stephen D. Prior, Mehmet Karaman...
This paper presents a learning-based method for combining the shape and appearance feature types for 3D human pose estimation from single-view images. Our method is based on clust...
We explore the relationship between a natural notion of unsupervised learning studied by Kearns et al. (STOC '94), which we call here "learning to create" (LTC), an...