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CVPR
2009
IEEE
17 years 1 months ago
Learning a Distance Metric from Multi-instance Multi-label Data
Multi-instance multi-label learning (MIML) refers to the learning problems where each example is represented by a bag/collection of instances and is labeled by multiple labels. ...
Rong Jin (Michigan State University), Shijun Wang...
EMMCVPR
2009
Springer
16 years 1 months ago
Multi-label Moves for MRFs with Truncated Convex Priors
Optimization with graph cuts became very popular in recent years. As more applications rely on graph cuts, different energy functions are being employed. Recent evaluation of optim...
Olga Veksler
SAC
2004
ACM
16 years 5 days ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo
AGP
1995
IEEE
15 years 10 months ago
A Prolog Implementation of Kem
In this paper, we describe a Prolog implementation of a new theorem prover for (normal propositional) modal and multi–modal logics. The theorem prover, which is called KEM, arise...
Alberto Artosi, Paola Cattabriga, Guido Governator...
BMCBI
2006
99views more  BMCBI 2006»
15 years 6 months ago
A proposed metric for assessing the measurement quality of individual microarrays
Background: High-density microarray technology is increasingly applied to study gene expression levels on a large scale. Microarray experiments rely on several critical steps that...
Kyoungmi Kim, Grier P. Page, T. Mark Beasley, Step...