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» Adaptive semantic Bayesian framework for image attention
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3DOR
2008
13 years 9 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
IJPP
2002
107views more  IJPP 2002»
13 years 7 months ago
Efficiently Adapting Java Binaries in Limited Memory Contexts
This paper presents a compilation framework that allows executable code to be shared across different Java Virtual Machine (JVM) instances. All fully compliant JVMs that target se...
Pramod G. Joisha, Samuel P. Midkiff, Mauricio J. S...
BMCBI
2010
218views more  BMCBI 2010»
13 years 7 months ago
Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets
Background: Solving bioinformatics tasks often requires extensive computational power. Recent trends in processor architecture combine multiple cores into a single chip to improve...
Michael Scharfe, Rainer Pielot, Falk Schreiber
TKDE
2008
116views more  TKDE 2008»
13 years 7 months ago
Long-Term Cross-Session Relevance Feedback Using Virtual Features
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
ICCV
2007
IEEE
14 years 9 months ago
Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method
Theoretical understanding and extension of mean shift procedure has received much attention recently [8, 18, 3]. In this paper, we present a theoretical exploration and an algorit...
Xiaotong Yuan, Stan Z. Li