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MMM
2005
Springer
202views Multimedia» more  MMM 2005»
15 years 6 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
Ross Brown, Binh Pham
100
Voted
TMA
2010
Springer
148views Management» more  TMA 2010»
14 years 10 months ago
TCP Traffic Classification Using Markov Models
This paper presents a novel traffic classification approach which classifies TCP connections with help of observable Markov models. As traffic properties, payload length, direction...
Gerhard Münz, Hui Dai, Lothar Braun, Georg Ca...
82
Voted
EMNLP
2007
15 years 2 months ago
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...
JMLR
2010
169views more  JMLR 2010»
14 years 7 months ago
Consensus-Based Distributed Support Vector Machines
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a centralized processing unit...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
105
Voted
ICTAI
2007
IEEE
15 years 7 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...