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CSCW
2006
ACM
14 years 1 months ago
Improving network efficiency in real-time groupware with general message compression
Groupware communicates by sending messages across the network, and groupware programmers use a variety of formats for these messages, such as XML, plain text, or serialized object...
Carl Gutwin, Christopher Fedak, Mark Watson, Jeff ...
CIKM
2008
Springer
13 years 9 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
EATIS
2007
ACM
13 years 11 months ago
Application layer multicast techniques in grid environments
Resource and service discovery, data transfer or replica management, are some examples of basic operations of a grid which can gain efficiency by using multicast transmission tech...
Rafael Moreno-Vozmediano
MICCAI
2000
Springer
13 years 11 months ago
Small Sample Size Learning for Shape Analysis of Anatomical Structures
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
INFOCOM
2007
IEEE
14 years 1 months ago
Multivariate Online Anomaly Detection Using Kernel Recursive Least Squares
— High-speed backbones are regularly affected by various kinds of network anomalies, ranging from malicious attacks to harmless large data transfers. Different types of anomalies...
Tarem Ahmed, Mark Coates, Anukool Lakhina