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ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Deep networks for audio event classification in soccer videos
In this work is presented a novel approach for the classification of audio concepts in broadcast soccer videos using deep belief network (DBN), a probabilistic neural network with...
Lamberto Ballan, Alessio Bazzica, Marco Bertini, A...
DMIN
2009
132views Data Mining» more  DMIN 2009»
13 years 2 months ago
Understanding Support Vector Machine Classifications via a Recommender System-Like Approach
Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
TSD
2010
Springer
13 years 2 months ago
Correlation Features and a Linear Transform Specific Reproducing Kernel
Abstract. In this paper we introduce two ideas for phoneme classification: First, we derive the necessary steps to integrate linear transform into the computation of reproducing ke...
Andreas Beschorner, Dietrich Klakow
SWARM
2010
SPRINGER
154views Optimization» more  SWARM 2010»
13 years 2 months ago
An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization
This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ ...
Wei Wang, Pengtao Zhang, Ying Tan
SADM
2010
128views more  SADM 2010»
13 years 2 months ago
Online training on a budget of support vector machines using twin prototypes
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
Zhuang Wang, Slobodan Vucetic
PPSN
2010
Springer
13 years 2 months ago
Comparison-Based Optimizers Need Comparison-Based Surrogates
Abstract. Taking inspiration from approximate ranking, this paper investigates the use of rank-based Support Vector Machine as surrogate model within CMA-ES, enforcing the invarian...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
NCA
2010
IEEE
13 years 2 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet
IJBRA
2010
116views more  IJBRA 2010»
13 years 2 months ago
Scaling alignment of large ontologies
: In recent years, the number of ontologies shared on the Web has increased dramatically, supporting a growing set of applications such as biological knowledge sharing, enhanced se...
Suzette Stoutenburg, Jugal Kalita, Kaily Ewing, Li...
NECO
2007
90views more  NECO 2007»
13 years 3 months ago
Neighborhood Property-Based Pattern Selection for Support Vector Machines
Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
Hyunjung Shin, Sungzoon Cho
CANDC
2002
ACM
13 years 4 months ago
Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis
We show that the support vector machine (SVM) classification algorithm, a recent development from the machine learning community, proves its potential for structure
Robert Burbidge, Matthew W. B. Trotter, Bernard F....