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» On Discriminative Semi-Supervised Classification
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CIKM
2009
Springer
14 years 2 months ago
Graph classification based on pattern co-occurrence
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
Ning Jin, Calvin Young, Wei Wang
BMCBI
2007
116views more  BMCBI 2007»
13 years 7 months ago
Linear array of conserved sequence motifs to discriminate protein subfamilies: study on pyridine nucleotide-disulfide reductases
Background: The pyridine nucleotide disulfide reductase (PNDR) is a large and heterogeneous protein family divided into two classes (I and II), which reflect the divergent evoluti...
César L. Avila, Viviana A. Rapisarda, Ricar...
AAAI
2000
13 years 9 months ago
Modeling Classification and Inference Learning
Human categorization research is dominated by work in classification learning. The field may be in danger of equating the classification learning paradigm with the more general ph...
Bradley C. Love, Arthur B. Markman, Takashi Yamauc...
AROBOTS
2010
128views more  AROBOTS 2010»
13 years 8 months ago
Track-based self-supervised classification of dynamic obstacles
Abstract This work introduces a self-supervised architecture for robust classification of moving obstacles in urban environments. Our approach presents a hierarchical scheme that r...
Roman Katz, Juan Nieto, Eduardo Mario Nebot, Bertr...
ICPR
2010
IEEE
13 years 5 months ago
One-Vs-All Training of Prototype Classifier for Pattern Classification and Retrieval
Prototype classifiers trained with multi-class classification objective are inferior in pattern retrieval and outlier rejection. To improve the binary classification (detection, v...
Cheng-Lin Liu