Sciweavers

238 search results - page 9 / 48
» Separating Models of Learning from Correlated and Uncorrelat...
Sort
View
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
14 years 20 days ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 8 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
KDD
2001
ACM
211views Data Mining» more  KDD 2001»
14 years 9 months ago
Magical thinking in data mining: lessons from CoIL challenge 2000
CoIL challenge 2000 was a supervised learning contest that attracted 43 entries. The authors of 29 entries later wrote explanations of their work. This paper discusses these repor...
Charles Elkan
ICANN
2009
Springer
14 years 3 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
ECCV
2008
Springer
14 years 10 months ago
Calibration from Statistical Properties of the Visual World
What does a blind entity need in order to determine the geometry of the set of photocells that it carries through a changing lightfield? In this paper, we show that very crude know...
Etienne Grossmann, José António Gasp...