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» Incremental and Decremental Support Vector Machine Learning
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SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
15 years 3 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
ACIVS
2006
Springer
15 years 3 months ago
Discrete Choice Models for Static Facial Expression Recognition
In this paper we propose the use of Discrete Choice Analysis (DCA) for static facial expression classification. Facial expressions are described with expression descriptive units ...
Gianluca Antonini, Matteo Sorci, Michel Bierlaire,...
AIRS
2005
Springer
15 years 3 months ago
VisMed: A Visual Vocabulary Approach for Medical Image Indexing and Retrieval
Voluminous medical images are generated daily. They are critical assets for medical diagnosis, research, and teaching. To facilitate automatic indexing and retrieval of large medic...
Joo-Hwee Lim, Jean-Pierre Chevallet
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 3 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
ICANN
2005
Springer
15 years 3 months ago
The LCCP for Optimizing Kernel Parameters for SVM
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...