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TON
2010
167views more  TON 2010»
15 years 1 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
CVPR
2012
IEEE
13 years 9 months ago
Center-Shift: An approach towards automatic robust mesh segmentation (ARMS)
In the area of 3D shape analysis, research in mesh segmentation has always been an important topic, as it is a fundamental low-level task which can be utilized in many application...
Mengtian Sun, Yi Fang, Karthik Ramani
AAAI
2012
13 years 9 months ago
Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach
The recent popularization of social web services has made them one of the primary uses of the World Wide Web. An important concept in social web services is social actions such as...
Nozomi Nori, Danushka Bollegala, Hisashi Kashima
CIMCA
2005
IEEE
16 years 3 days ago
Opposition-Based Learning: A New Scheme for Machine Intelligence
Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions...
Hamid R. Tizhoosh
FUIN
2006
132views more  FUIN 2006»
15 years 6 months ago
Adhesive High-Level Replacement Systems: A New Categorical Framework for Graph Transformation
Adhesive high-level replacement (HLR) systems are introduced as a new categorical framework for graph transformation in the double pushout (DPO) approach, which combines the well-k...
Hartmut Ehrig, Julia Padberg, Ulrike Prange, Anneg...