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JMLR
2010
152views more  JMLR 2010»
14 years 4 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
JMLR
2010
88views more  JMLR 2010»
14 years 4 months ago
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories
Classification problems with a very large or unbounded set of output categories are common in many areas such as natural language and image processing. In order to improve accurac...
Ivan Titov, Alexandre Klementiev, Kevin Small, Dan...
ICC
2011
IEEE
269views Communications» more  ICC 2011»
13 years 9 months ago
Experimental Evaluation of Memory Management in Content-Centric Networking
Abstract—Content-Centric Networking is a new communication architecture that rethinks the Internet communication model, designed for point-to-point connections between hosts, and...
Giovanna Carofiglio, Vinicius Gehlen, Diego Perino
CVPR
2012
IEEE
12 years 12 months ago
We are not contortionists: Coupled adaptive learning for head and body orientation estimation in surveillance video
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
Cheng Chen, Jean-Marc Odobez
PKDD
2004
Springer
205views Data Mining» more  PKDD 2004»
15 years 2 months ago
Breaking Through the Syntax Barrier: Searching with Entities and Relations
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
Soumen Chakrabarti