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» Classification of Six-Point Metrics
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BMCBI
2006
173views more  BMCBI 2006»
14 years 10 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
NIPS
2004
14 years 11 months ago
Object Classification from a Single Example Utilizing Class Relevance Metrics
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
Michael Fink 0002
CVPR
2000
IEEE
15 years 1 months ago
Adaptive Metric nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with finite samples due to the curse o...
Carlotta Domeniconi, Dimitrios Gunopulos, Jing Pen...
FPL
2000
Springer
93views Hardware» more  FPL 2000»
15 years 1 months ago
Reconfigurable Computing between Classifications and Metrics - The Approach of Space/Time-Scheduling
Abstract. Reconfigurable computing receives its merits from scheduling timebased into space-based execution. This paper reviews some common parameters and introduces an additional ...
Christian Siemers
AAAI
2010
14 years 11 months ago
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
Sumit Basu, Danyel Fisher, Steven M. Drucker, Hao ...