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CIKM
2007
Springer
15 years 5 months ago
Structure and semantics for expressive text kernels
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Stephan Bloehdorn, Alessandro Moschitti
CIVR
2007
Springer
104views Image Analysis» more  CIVR 2007»
15 years 5 months ago
Semantic facets: an in-depth analysis of a semantic image retrieval system
This paper introduces a faceted model of image semantics which attempts to express the richness of semantic content interpretable within an image. Using a large image data-set fro...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
15 years 5 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
ISNN
2007
Springer
15 years 5 months ago
Memetic Algorithms for Feature Selection on Microarray Data
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
Zexuan Zhu, Yew-Soon Ong
ICDM
2006
IEEE
153views Data Mining» more  ICDM 2006»
15 years 5 months ago
k-STARs: Sequences of Spatio-Temporal Association Rules
A Spatio-Temporal Association Rule (STAR) describes how objects move between regions over time. Since they describe only a single movement between two regions, it is very difficu...
Florian Verhein