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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
16 years 36 min 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»
16 years 23 min 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 6 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 5 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 5 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