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» Classifier Selection Based on Data Complexity Measures
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ICIP
2004
IEEE
16 years 3 months ago
Simplified digital holographic reconstruction using statistical methods
For reconstructing a complex object wavefront from digital holograms, we propose a new penalized-likelihood approach based on the measurement statistics and edge-preserving regula...
Jeffrey A. Fessler, Saowapak Sotthivirat
151
Voted
APVIS
2011
14 years 1 months ago
View point evaluation and streamline filtering for flow visualization
Visualization of flow fields with geometric primitives is often challenging due to occlusion that is inevitably introduced by 3D streamlines. In this paper, we present a novel v...
Teng-Yok Lee, Oleg Mishchenko, Han-Wei Shen, Roger...
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 8 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
128
Voted
BMCBI
2006
164views more  BMCBI 2006»
15 years 1 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
BMCBI
2006
147views more  BMCBI 2006»
15 years 1 months ago
The NeuARt II system: a viewing tool for neuroanatomical data based on published neuroanatomical atlases
Background: Anatomical studies of neural circuitry describing the basic wiring diagram of the brain produce intrinsically spatial, highly complex data of great value to the neuros...
Gully A. P. C. Burns, Wei-Cheng Cheng, Richard H. ...