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ECCV
2006
Springer
16 years 8 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss
ICIP
2008
IEEE
16 years 8 months ago
Multi-concept learning with large-scale multimedia lexicons
Multi-concept learning is an important problem in multimedia content analysis and retrieval. It connects two key components in the multimedia semantic ecosystem: multimedia lexico...
Lexing Xie, Rong Yan, Jun Yang 0003
ICPR
2006
IEEE
16 years 7 months ago
Learning Pairwise Similarity for Data Clustering
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
Ana L. N. Fred, Anil K. Jain
CHI
2001
ACM
16 years 7 months ago
Locus of feedback control in computer-based tutoring: impact on learning rate, achievement and attitudes
The advent of second-generation intelligent computer tutors raises an important instructional design question: when should tutorial advice be presented in problem solving? This pa...
Albert T. Corbett, John R. Anderson
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
16 years 4 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...