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142
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SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
13 years 5 months ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
TCS
2010
15 years 1 months ago
Canonical finite state machines for distributed systems
There has been much interest in testing from finite state machines (FSMs) as a result of their suitability for modelling or specifying state-based systems. Where there are multip...
Robert M. Hierons
183
Voted
CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
16 years 3 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
133
Voted
ASIAN
2004
Springer
150views Algorithms» more  ASIAN 2004»
15 years 8 months ago
Concurrent Constraint-Based Memory Machines: A Framework for Java Memory Models
A central problem in extending the von Neumann architecture to petaflop computers with millions of hardware threads and with a shared memory is defining the memory model [Lam79,...
Vijay A. Saraswat