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TNN
2008
178views more  TNN 2008»
15 years 6 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
NN
1998
Springer
177views Neural Networks» more  NN 1998»
15 years 6 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
ISNN
2011
Springer
14 years 9 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
CIVR
2004
Springer
111views Image Analysis» more  CIVR 2004»
16 years 7 hour ago
An Inference Network Approach to Image Retrieval
Most image retrieval systems only allow a fragment of text or an example image as a query. Most users have more complex information needs that are not easily expressed in either of...
Donald Metzler, R. Manmatha
153
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CLEIEJ
2010
15 years 4 months ago
Professional Training Program Management through Holonic Networks
Holonic networks constitute a type of organizational structures widely used at manufacturing enterprises. In an educational context, however, this type of structures remains practi...
Jonas Montilva C., Milagro Rivero, Judith Barrios ...