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» Learn .MT: A New Approach to Incremental Learning
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CVPR
2005
IEEE
16 years 8 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
ICML
2006
IEEE
16 years 7 months ago
Personalized handwriting recognition via biased regularization
We present a new approach to personalized handwriting recognition. The problem, also known as writer adaptation, consists of converting a generic (user-independent) recognizer int...
Wolf Kienzle, Kumar Chellapilla
ICML
2006
IEEE
16 years 7 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
WWW
2008
ACM
16 years 7 months ago
Enhanced hierarchical classification via isotonic smoothing
Hierarchical topic taxonomies have proliferated on the World Wide Web [5, 18], and exploiting the output space decompositions they induce in automated classification systems is an...
Kunal Punera, Joydeep Ghosh
NDSS
2007
IEEE
16 years 20 days ago
Fig: Automatic Fingerprint Generation
Fingerprinting is a widely used technique among the networking and security communities for identifying different implementations of the same piece of networking software running ...
Shobha Venkataraman, Juan Caballero, Pongsin Poosa...