33 search results - page 5 / 7 » Kernel-based distance metric learning for microarray data cl... |
NIPS
2004
13 years 8 months ago
2004
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
In video object classification, insufficient labeled data may at times be easily augmented with pairwise constraints on sample points, i.e, whether they are in the same class or n...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Our goal is to automatically identify which species of bird is present in an audio recording using supervised learning. Devising effective algorithms for bird species classificati...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
NPL
2006
13 years 7 months ago
2006
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...