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PAMI
2008
391views more  PAMI 2008»
15 years 6 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
APIN
2004
97views more  APIN 2004»
15 years 6 months ago
FSfRT: Forecasting System for Red Tides
A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in ...
Florentino Fdez-Riverola, Juan M. Corchado
CGA
1998
15 years 5 months ago
Verbs and Adverbs: Multidimensional Motion Interpolation
This paper describes methods and data structures used to leverage motion sequences of complex linked figures. We present a technique for interpolating between example motions der...
Charles Rose, Michael F. Cohen, Bobby Bodenheimer
DATAMINE
1998
145views more  DATAMINE 1998»
15 years 5 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
TMI
1998
140views more  TMI 1998»
15 years 5 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger