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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
15 years 9 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
15 years 9 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
EMSOFT
2009
Springer
15 years 4 months ago
Implementing time-predictable load and store operations
Scratchpads have been widely proposed as an alternative to caches for embedded systems. Advantages of scratchpads include reduced energy consumption in comparison to a cache and a...
Jack Whitham, Neil C. Audsley
CIVR
2007
Springer
155views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Detection of near-duplicate images for web search
Among the vast numbers of images on the web are many duplicates and near-duplicates, that is, variants derived from the same original image. Such near-duplicates appear in many we...
Jun Jie Foo, Justin Zobel, Ranjan Sinha, Seyed M. ...
JCDL
2006
ACM
151views Education» more  JCDL 2006»
15 years 3 months ago
Tagging of name records for genealogical data browsing
In this paper we present a method of parsing unstructured textual records briefly describing a person and their direct relatives, which we use in the construction of a browsing t...
Mike Perrow, David Barber