Sciweavers

1490 search results - page 20 / 298
» Combining Methods for Dynamic Multiple Classifier Systems
Sort
View
92
Voted
ICPR
2006
IEEE
16 years 1 months ago
Adaptive Weighting of Local Classifiers by Particle Filter
This paper presents adaptive weighting method for combining local classifiers by particle filter. In recent years, the effectiveness of combination of local classifiers (features)...
Kazuhiro Hotta
ICIP
2003
IEEE
16 years 2 months ago
Pixel classification through divergence-based integration of texture methods with conflict resolution
This paper presents a new technique for combining multiple texture feature extraction methods in order to classify the pixels of an input image into a set of texture models of int...
Domènec Puig, Miguel Angel García
95
Voted
SIGIR
1996
ACM
15 years 4 months ago
Retrieving Spoken Documents by Combining Multiple Index Sources
This paper presents domain-independent methods of spoken document retrieval. Both a continuous-speech large vocabulary recognition system, and a phone-lattice word spotter, are us...
Gareth J. F. Jones, J. T. Foote, Karen Sparck Jone...
91
Voted
ACL
2009
14 years 10 months ago
Paraphrase Recognition Using Machine Learning to Combine Similarity Measures
This paper presents three methods that can be used to recognize paraphrases. They all employ string similarity measures apshallow abstractions of the input sentences, and a Maximu...
Prodromos Malakasiotis
127
Voted
SETN
2004
Springer
15 years 5 months ago
A Meta-classifier Approach for Medical Diagnosis
Abstract. Single classifiers, such as Neural Networks, Support Vector Machines, Decision Trees and other, can be used to perform classification of data for relatively simple proble...
George L. Tsirogiannis, Dimitrios S. Frossyniotis,...