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PAMI
2010
200views more  PAMI 2010»
14 years 10 months ago
Learning Context-Sensitive Shape Similarity by Graph Transduction
—Shape similarity and shape retrieval are very important topics in computer vision. The recent progress in this domain has been mostly driven by designing smart shape descriptors...
Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu...
IDA
2009
Springer
14 years 9 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
COGSCI
2011
85views more  COGSCI 2011»
14 years 6 months ago
Adaptation to Novel Accents: Feature-Based Learning of Context-Sensitive Phonological Regularities
This paper examines whether adults can adapt to novel accents of their native language that contain unfamiliar context-dependent phonological alternations. In two experiments, Fre...
Katrin Skoruppa, Sharon Peperkamp
PERCOM
2005
ACM
15 years 5 months ago
A Learning Model for Trustworthiness of Context-Awareness Services
When ubiquitous computing devices access a contextawareness service, such as a location service, they need some assurance that the quality of the information received is trustwort...
Markus C. Huebscher, Julie A. McCann
ICGI
2000
Springer
15 years 3 months ago
Constructive Learning of Context-Free Languages with a Subpansive Tree
A subpansive tree is a rooted tree that gives a partial order of nonterminal symbols of a context-free grammar. We formalize subpansive trees as background knowledge of CFGs, and i...
Noriko Sugimoto, Takashi Toyoshima, Shinichi Shimo...