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» Learning with Distance Substitution Kernels
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MM
2005
ACM
134views Multimedia» more  MM 2005»
14 years 2 months ago
Formulating context-dependent similarity functions
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
Gang Wu, Edward Y. Chang, Navneet Panda
SIGCSE
2005
ACM
156views Education» more  SIGCSE 2005»
14 years 2 months ago
Experiences teaching operating systems using virtual platforms and linux
Operating system courses teach students much more when they provide hands-on kernel-level project experience with a real operating system. However, enabling a large class of stude...
Jason Nieh, Chris Vaill
ICPR
2008
IEEE
14 years 3 months ago
Semi-supervised learning by locally linear embedding in kernel space
Graph based semi-supervised learning methods (SSL) implicitly assume that the intrinsic geometry of the data points can be fully specified by an Euclidean distance based local ne...
Rujie Liu, Yuehong Wang, Takayuki Baba, Daiki Masu...
ISNN
2004
Springer
14 years 2 months ago
Fuzzy-Kernel Learning Vector Quantization
This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ACL
2009
13 years 6 months ago
Profile Based Cross-Document Coreference Using Kernelized Fuzzy Relational Clustering
Coreferencing entities across documents in a large corpus enables advanced document understanding tasks such as question answering. This paper presents a novel cross document core...
Jian Huang 0002, Sarah M. Taylor, Jonathan L. Smit...