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» Learning the Relative Importance of Features in Image Data
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99
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KDD
2001
ACM
166views Data Mining» more  KDD 2001»
16 years 4 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
132
Voted
SIMVIS
2004
15 years 5 months ago
Model-based Approach to Automatic 3D Seismic Horizon Correlation across Faults
Seismic data provide detailed information about subsurface structures. Reflection events visible in the seismic data are known as horizons, and indicate boundaries between differe...
Fitsum Admasu, Klaus D. Tönnies
111
Voted
EMMCVPR
2007
Springer
15 years 9 months ago
Decomposing Document Images by Heuristic Search
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. I...
Dashan Gao, Yizhou Wang
ICCV
2003
IEEE
16 years 5 months ago
Machine Learning and Multiscale Methods in the Identification of Bivalve Larvae
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
Sanjay Tiwari, Scott Gallager
135
Voted
CBMS
2009
IEEE
15 years 10 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...